treecode is a program for self-consistent N-body simulation. It is faster than previous codes, and generally provides better error control. This document describes treecode Version 1.4; it provides an overview of the algorithm, instructions for compiling and running the code, and links to the actual sources.
Hierarchical force calculation algorithms (e.g. Greengard 1990) provide fast, general, and reasonably accurate approximations for gravity and other inverse-square forces. They fill the gap between direct sum methods, which are accurate and general but require O(N2) operations for a complete force calculation, and field methods, which have limited generality and accuracy but require only O(N) operations. All hierarchical methods partition the mass distribution into a tree structure, where each node of the tree provides a concise description of the matter within some spatial volume. This tree structure is used to introduce explicit approximations into the force calculation. Hierarchical methods require either O(N) or O(N log N) operations per force calculation, depending on the representation employed. The algorithm described here improves on an earlier hierarchical O(N log N) method (Barnes & Hut 1986, hereafter BH86) which has been widely employed in astrophysical simulations.
Below, Section 1 outlines the general strategy of the new code. The data structures used in the tree construction and force calculation are discussed in Section 2. Routines for tree construction, force calculation, control & integration, and input/output are described in Section 3. Instructions for copying, compiling, and running treecode are given in Section 4. Differences between Version 1.4 and earlier versions are discussed in Appendix A. Finally, system-level software used in the code is described in the Appendix B.
treecode reduces the overhead of tree search by using the fact that neighboring bodies have similar interaction lists. This idea was previously used to speed up hierarchical force calculation on vector machines (Barnes 1990), but the earlier code simply performed a tree search for some small volume defined by a single cell. In the new code this idea is applied to all levels of the tree.
Forces on bodies are computed during a single recursive scan of the entire tree. This scan maintains and continuously updates an interaction list; at each level, the fact that a body b lies somewhere within a cell c is used to winnow the set of possible interactions that b might have. (The information used to define interaction lists is thus similar to that used in an early parallel code (Barnes 1986), and a similar strategy figures in the Fast Multipole Method (Greengard & Rokhlin 1987).) The cost of this winnowing is spread over all bodies within c, promising a significant speed-up over codes which construct a separate interaction list for each body (e.g. BH86). When the recursive scan arrives at a body b, the interaction list on hand is used to obtain the gravitational force and potential at b.
Typical hierarchical N-body codes spend about half their time searching the tree (Hernquist 1987); thus one might hope that a factor of two could be gained by quickly generating interaction lists for all bodies in a single scan of the tree. In practice, since the interaction lists so generated are not precisely tailor-made for individual bodies, they must be somewhat longer for a given accuracy. Thus to obtain the expected speed-up requires faster evaluation of interactions, achieved largely via tighter coding. Preliminary timing tests show that treecode is indeed about a factor of two faster than the BH86 code at a fixed level of accuracy; it also outperforms other versions of that algorithm (Barnes 1998). Moreover, it is significantly more robust when presented with `perverse' mass distributions (Salmon & Warren 1994).
The new algorithm should lend itself to efficient use of vector processors. On a scalar machine, it spends 90% to 95% of the time summing up interaction lists; a large speed-up would be realized by offloading this task to a vector unit. This approach can make efficient use of N-body force calculation hardware such as the GRAPE (Gravity PIpe) processor (Sugimoto et al. 1990).
Parallel implementation should also be quite straight-forward provided that each processor has enough memory to hold a copy of the entire particle array and tree structure. At a minimum, the task of summing each interaction list can be distributed across a small number of processors; the bottleneck is then that each processor must search the entire tree. A better approach is to order bodies as they would be encountered in a tree-walk, estimate the computational work required to calculate the force on each, and give each processor the job of computing forces for a contiguous block of bodies.
The file treedefs.h has specifications for the data structures and global variables used in tree construction and force calculation. This file requires definitions from several general-purpose C include files, which are further described in the Appendix B.
The primary data structure used in the code is an eight-way tree (or `oct-tree'), composed of bodies and cells. Bodies are the leaves of the tree, while cells are the internal branches. The entire tree can be reached starting from a single cell, known as the root. A simple tree is shown here:
node structures contain the information common to both bodies and cells. In principle, each element of the tree could be represented as a union of a body and a cell, but this would be inefficient since bodies and cells require different amounts of memory. Instead, a node is a common header for bodies and cells, and casts are used to convert a pointer of arbitrary type into a pointer to a node, cell or a body. All of this ugly code is hidden in macros; the macros used to access the components of nodes are:
body structures represent particles. The macros used to access the components of bodies, besides those for nodes, are:
cell structures represent the eight-way internal branchings of the tree. The macros used to access the components of cells, besides those for nodes, are:
(Note that the Subp and Quad fields share memory; thus only one of each is defined at any point in the calculation.)
The Next and More fields of the tree are initialized in the second phase of tree construction. In this phase, the structure is `threaded' in such a way that a tree search can be performed by a simple iterative procedure. This transforms the tree sketched above into the following:
In essence, the More link is followed to get more detailed information on the mass distribution, and the Next link is followed to move on to the next part of the tree. Threading was originally done to speed up force calculation; now, however, it's used to free up the memory previously used to store the Subp array.
Before threading, the standard idiom to iterate over the immediate descendents of a cellptr p is
int i; for (i = 0; i < NSUB; i++) if (Subp(p)[i] != NULL) <process Subp(p)[i]>;where NSUB = 23 is the maximum number of direct descendents, while after threading, the idiom is
nodeptr q; for (q = More(p); q != Next(p); q = Next(q)) <process q>;
Global variables are declared with the symbol global, introduced to deal with ANSI C's requirement that the extern keyword be used in all but one compilation module. In compiling the tree construction, force calculation, and input/output routines, global expands to extern; in the main module treecode.c, the global symbol is predefined before treedefs.h is included:
#define global /* don't default to extern */This definition prevents global from expanding to extern when compiling the main module.
a) Input parameters for tree construction and force calculation are as follows:
b) Tree construction assigns values to the following variables:
c) Force calculation assigns values to the following variables:
The routines implementing treecode are grouped into four categories: tree construction, force calculation, control & integration, and input/output. Each set of routines is defined in a separate file.
The tree construction task is handled by the routines in treeload.c. Construction begins by fitting a cube, of linear dimension rsize, around the body positions. This cube is identified with the root cell of the tree. Bodies are then loaded into the tree one at a time. A given cell can hold up to eight bodies if each one happens to fall in a different octant. Whenever two bodies fall in the same octant, a new cell is allocated and the tree is extended to another level. Once all bodies are loaded, total mass and center-of-mass information is propagated from the bodies towards the root.
maketree supervises the process of tree construction. Its prototype is
void maketree(bodyptr btab, int nbody);where btab is an array of nbody body structures. When maketree returns, the root of the tree is addressed by the global cell pointer, root; also updated are the root cell size, rsize, the number of cells in the tree, ncell, the depth of the tree, tdepth (counting from 0), and the CPU time used, cputree.
After initializing an empty root cell, maketree loops over btab, calling loadbody to install each body in the tree. It then propagates information from the leaves to the root, threads the tree structure, and optionally computes quadrupole moments.
newtree scavenges the cells in the existing tree and prepares to build a new one. Its prototype is
makecell returns a pointer to a free cell. Its prototype is
cellptr makecell(void);In addition, makecell also updates ncell.
expandbox fits a box around the body distribution. Its prototype is
void expandbox(bodyptr btab, int nbody);where btab is an array of nbody body structures. The result is stored in rsize.
To take advantage of the exact floating-point representation of powers of two in binary computers, the box size is successively doubled until it fits the bodies. This insures that the corners and midpoints of cells have exact binary representations.
loadbody inserts a body in the tree. Its prototype is
void loadbody(bodyptr p);where p is the body in question.
To find the appropriate place to insert the body, loadbody traces out a path from the root node toward the leaves of the tree. At each level, it calls subindex to decide which branch to take. Eventually, one of two things happens. First, the indicated subcell may be empty; the body p is then stuffed into the empty slot. Second, the indicated subcell may already hold a body; then a new cell is allocated to extend the tree and both bodies are installed within the new cell.
subindex decides which of a cell's octants a body falls in. Its prototype is
int subindex(bodyptr p, cellptr q);where p is the body in question and c is the cell.
The subindex function uses the fact that during the first phase of tree construction the Pos vector of a cell is its geometric midpoint. Note that it's assumed that p actually lies within the volume represented by c; this assumption is checked for the entire tree when hackcofm is called.
hackcofm propagates cumulative information towards the root cell. Its prototype is
void hackcofm(cellptr p, real psize, int lev);where p is the current cell, psize is its linear size, and lev is its level in the tree, counting the root as level 0.
In outline, hackcofm is a simple depth-first recursive tree scan; it loops over the descendents of p and calls itself on those which point to cells. It thereby accumulates total masses, center-of-mass positions, and update flags. This done, hackcofm checks that the center-of-mass actually lies in the volume represented by p; failure indicates a bug in tree construction. Optionally, setrcrit is called to set the critical opening radius for this cell.
setrcrit assigns each cell a critical squared opening radius. Its prototype is
void setrcrit(cellptr p, vector cmpos, real psize);where p is the cell, cmpos is its center-of-mass position, and psize is its size.
This routine is defined only if the QUICKSCAN version is not compiled. It offers several different methods to compute the squared critical radius, Rcrit2, beyond which a force calculation need not open p. The default is a criterion which is extra careful with cells having relatively off-center mass distributions (Barnes 1995); also provided are Salmon & Warren's (1994) bmax criterion (option sw94) and BH86's original criterion (option bh86).
threadtree relinks the tree using the Next and More pointers. Its prototype is
void threadtree(nodeptr p, nodeptr n);where p is any node and n will be its successor.
In outline, threadtree is also a depth-first recursive tree walk. First, it makes n the Next link of p. Then, if p is a cell, it makes a list its descendents and sets p's More link to be the first of these; finally it calls itself on each member of the list, passing the next member as the successor (note that the successor of the last member is the successor of p).
hackquad propagates quadrupole moments towards the root cell. Its prototype is
void hackquad(cellptr p);where p is the current cell.
Again, this routine does a depth-first tree walk. The only trick is that the storage used for the Subp pointers is reused to store the quadrupole matrix, so the latter are first copied to a temporary array. (Note: this routine could be simplified using the post-threading idiom to iterate over descendents.)
The force calculation code is implemented by routines provided in treegrav.c. As described above, forces are calculated during a single recursive scan of the tree, which visits every body whose Update flag is set. Gravitational forces and potentials are assigned to these bodies.
gravcalc supervises the process of force calculation. Its prototype is
void gravcalc(void);The tree structure to be used by gravcalc is addressed by the global root pointer; also referenced are the tree depth tdepth and root cell size rsize.
The main job of gravcalc is to set up the initial call to the worker routine walktree. It begins by allocating temporary storage for several lists; the length of these lists is estimated from the depth of the tree. The interact pointer addresses a linear array of cells which list all the interactions acting on a body; body-cell interactions are listed from the front toward the back, while body-body interactions are listed from the back toward the front. The active pointer addresses an array of node pointers which will be examined when constructing interaction lists. With these arrays in place, gravcalc places the root node on the active list and calls walktree to scan the tree.
walktree is the main recursive routine for force calculation. Its prototype is
void walktree(nodeptr *aptr, nodeptr *nptr, cellptr cptr, cellptr bptr, nodeptr p, real psize, vector pmid);The effect of walktree is to compute gravity on bodies within node p. This is accomplished via a recursive scan of p and its descendents. At each point in the scan, information from levels between the root and p is contained in a set of nodes which will appear on the final interaction lists of all bodies within p; this set is split into separate lists of cells and bodies, addressed by cptr and bptr, respectively. The rest of the tree is represented by a set of active nodes which include node p and surround it in space; pointers to these nodes are stored in an array between aptr and nptr. Node p has linear size psize and geometric midpoint pmid.
In the main loop of the routine, walktree examines the active nodes, deciding which may be appended to the interaction lists, and which are so close that their descendents must be examined at the next level of recursion. Cells are tested by the function accept to determine if they are sufficiently well-separated from p. If so, they are placed on the cell interaction list, headed by cp; if not, their descendents are placed on the new active list, headed by np. Bodies, unless they happen to be the body p itself, are placed directly on the body interaction list, which is headed by bp.
(It may be worth testing the type of a node before placing it on the new active list; that way, bodies can be copied once and for all to the body interaction list, instead of being copied again for each immediate descendent of p. But this will complicate the handling of self-interaction.)
If some active cells were rejected by accept, recursion continues to the next level of the tree, taking as active the descendents of the rejected cells. The actual recursive descent is performed by walksub. Otherwise, p points to a body, and the interaction lists are complete, so gravsum may be called to sum up the interactions.
accept determines if a cell passes the separation test. Its prototype is
bool accept(nodeptr c, real psize, vector pmid);where c is the cell under consideration, and psize and pmid specify the volume represented by the current node p.
Two versions of accept exist. The default version insures that the squared distance from c to the nearest point within p is greater than Rcrit2(c). But if the QUICKSCAN version is compiled, a minimal criterion is used; no cell touching p, even at a single corner, is accepted.
walksub performs the actual recursive call-back to walktree. Its prototype is
void walksub(nodeptr *nptr, nodeptr *np, cellptr cptr, cellptr bptr, nodeptr p, real psize, vector pmid);and all parameters have exactly the same values that they do at the calling point in walktree.
Two possible cases arise in walksub. Most often by far, the node p is a cell. In this case, walksub loops over its descendents, invoking walktree for each, with the appropriately shifted cell center. Much more rarely, p is actually a body. In this case, the active list contains nodes which can't be sorted into the interaction lists at the present level; walksub calls walktree exactly once, continuing the search to the next level by `virtually' extending the tree.
gravsum supervises the process of evaluating forces from the cell and body interaction lists. Its prototype is
void gravsum(bodyptr p0, cellptr cptr, cellptr bptr);where p0 is the body requiring updated forces and cptr and bptr are pointers to the cell and body interaction lists, respectively.
The main job of gravsum is to call the worker routines sumnode and sumcell to sum up interaction terms. The latter routine is only invoked if quadrupole moments are included.
sumnode sums up interactions without quadrupole corrections. Its prototype is
void sumnode(cellptr start, cellptr finish, vector pos0, real *phi0, vector acc0);where start and finish point to the front and back of the interaction list, pos0 is the place where the force is evaluated, and phi0 and acc0 are the resulting potential and acceleration.
sumcell sums up interactions, including quadrupole corrections. Its prototype is
void sumcell(cellptr start, cellptr finish, vector pos0, real *phi0, vector acc0);where the arguments have the same meanings they do for sumnode.
This routine is similar to sumnode, but includes quadrupole-moment corrections (Hernquist 1987) to improve the forces and potentials generated by cells.
NOTE: sumnode and sumcell together account for upwards of 90% of the cycles in typical calculations. Optimizing the performance of these routines is critical.
The routines governing the N-body integration are collected in treecode.c. Parameters and state variables associated with control and integration are defined in treecode.h.
main is the main controlling routine. Its prototype is
void main(int argc, string argv);
treeforce is the supervisory routine for force calculation. Its prototype is
stepsystem advances the system by one time-step. Its prototype is
void stepsystem(void);Integration is performed using a `synchronized leap-frog', which is computationally equivalent to the traditional time-centered leap-frog but retains the synchronization of positions and velocities. The formula to advance the positions r and velocities v from step n to step n+1 is:
vn+1/2 = vn + (h/2) an , rn+1 = rn + h vn+1/2 , vn+1 = vn+1/2 + (h/2) an+1 ,where a = a(r) is the acceleration computed from positions at the corresponding step, and h is the time-step.
startrun initializes parameters and data for the N-body run. Its prototype is
testdata sets up a Plummer model (Aarseth, Henon, & Wielen 1974). Its prototype is
The routines responsible for input & output of N-body data are in treeio.c.
inputdata reads initial conditions from an input file. Its prototype is
startoutput prints a header describing the calculation. Its prototype is
forcereport prints statistics on tree construction and force calculation. Its prototype is
output prints diagnostics and determines if a data output is required. Its prototype is
outputdata outputs the actual N-body data. Its prototype is
diagnostics computes various dynamical diagnostics. Its prototype is
local void diagnostics(void);
savestate writes current program state to a binary file. Its prototype is
void savestate(string pattern);
restorestate restores the program state from a binary file. Its prototype is
void restorestate(string file);
A complete version of treecode may be down-loaded from this web site. The entire code is available as a single gzipped tar file:
The treecode sources are provided as free software with no restrictions on their use or modification. You may redistribute this software at will provided that you do so without restricting its use, modification, or redistribution by others. See the GNU General Public License for details.
This software is provided `as is'; no warranty is expressed or implied. Naturally, I have run extensive tests of this software before releasing it; just as naturally, there are probably bugs or limitations not identified in these tests. If you encounter problems in using this software, please let me know!
If you publish results obtained using treecode, I would appreciate a brief acknowledgment (and a preprint or reprint). I will not be able to improve this software and continue making it available without adequate research support; acknowledging the use of this software is an investment in future developments as well as a basic courtesy.
treecode is written in ANSI C; while some I/O operations may depend on the operating system, the bulk of the code should work on any system with an ANSI C compiler. The instructions below assume that a UNIX-like operating system is available.
Begin by placing the files in a single directory. If you have copied the treecode.tar.gz file, this may be done by giving the following commands:
% gunzip treecode.tar.gz % tar xvf treecode.tarThe directory should then contain all of the .h and .c files listed above, as well as the Makefile.
Before actually compiling the code, you may need to edit the Makefile and modify some of the parameters or switches. Defaults are provided for SGI, Sun, and LINUX compilers; suggestions for other operating system/compiler combinations are welcome.
Both single-precision and double-precision versions of the code can be generated by changing the value of the PRECISION parameter in the Makefile. Single-precision is good enough for most calculations, so that is the default. Some run-time libraries, however, do not provide single-precision versions of floating-point functions. On such systems, use the MIXEDPREC option for best performance. Note that if you change the PRECISION parameter, you must delete any existing .o and .a files before recompiling.
Once the Makefile has been edited, build a version of the code by giving either of these commands:
% make treecode % make treecode_qThe first of these builds the standard version, while the second builds the QUICKSCAN version.
A test calculation using a self-generated Plummer model (Aarseth, Henon, & Wielen 1974) may be run by giving the either of these commands
% treecode % treecode_qThis calculation uses nbody=4096 bodies, a timestep of dtime=1/32, a smoothing length of eps=0.025, an accuracy parameter theta=1.0 (for the standard version), and no quadrupole moments. A log of the calculation is sent to standard output; no other output is generated. On a 500 MHz Pentium, this test calculation takes about 1.2 minutes.
treecode uses the getparam command-line package to get all input parameters, including the names of any input and output files. To see a full list of parameters, along with their default values and descriptions, give either of these commands:
% treecode -help % treecode_q -helpIn response, the standard treecode prints out the following:
treecode Hierarchical N-body code (theta scan) in= Input file with initial conditions out= Output file of N-body frames dtime=1/32 Leapfrog integration timestep eps=0.025 Density smoothing length theta=1.0 Force accuracy parameter usequad=false If true, use quad moments options= Various control options tstop=2.0 Time to stop integration dtout=1/4 Data output timestep nbody=4096 Number of bodies for test run seed=123 Random number seed for test run save= Write state file as code runs restore= Continue run from state file VERSION=1.4 Joshua Barnes February 21 2001(the QUICKSCAN version produces a similar listing with one less parameter). This printout lists the name of each parameter, its default value if any, and a brief explanation of its function. The getparam package accepts argument values on the command line, and matches them to parameters either by position or by name. Initially, positional matching is used: the first argument is matched to the first parameter, and so on. However, if any argument has the form name=value, that argument and any that follow it are matched by name. An error results if a name does not match any parameter or if more than one value is assigned to a parameter.
At somewhat greater length than above, the parameters accepted by treecode are interpreted as follows:
For example, to run a test calculation using a Plummer model with 32768 bodies and an opening angle of 0.75, type
% treecode nbody=32768 theta=0.75To compute forces and potentials for a N-body configuration in the input file input.data, writing the result to output file forces.data, type
% treecode input.data forces.data dtime=0 options=out-phi,out-accTo run the initial conditions in input.data with a timestep of 1/64, writing results at intervals of 1/16 to separate files run_000.data, run_004.data, ..., type
% treecode input.data run_%03d.data dtime=1/64 dtout=1/16To perform the same calculation using the QUICKSCAN version, while saving the program's state after each step, type
% treecode_q input.data run_%03d.data dtime=1/64 dtout=1/16 save=state.dataTo continue this calculation until time 4, type
% treecode_q restore=state.data out=run_%03d.data tstop=4
By default, the input and output files used by treecode are written in ASCII. Each file contains one or more snapshots. Input files have the following format:
nbody NDIM time mass .... mass[n] x y z .... x[n] y[n] z[n] vx vy vz .... vx[n] vy[n] vz[n]Thus an input file contains a total of 3+3*nbody lines. A similar format is used for output files. If the out-phi and/or out-acc options are set, velocities are followed by potential values and/or acceleration vectors, respectively.
While ASCII output is easy to read, it is relatively inefficient. If treeio.c is compiled with the BINARYIO preprocessor symbol defined, input and output are performed in binary. This is recommended for production calculations!
The bucolic scenery of Leiden inspired the invention of this algorithm and I thank Tim de Zeeuw for his hospitality. I'm also grateful to Jun Makino for hospitality while I developed the public version described here. Initial development of treecode was supported by NASA grant NAG-2836.
The main change is that the previous version expected the leapfrog stepsize to be specified as a frequency; instead of the parameter dtime, Version 1.3 accepted a parameter freq equal to the inverse of the timestep. I decided to change this because many people find an integration timestep more intuitive than an integration frequency. It seemed convenient to use a frequency since power-of-two timesteps could be easily specified; for example, freq=32. However, the new version allows the user to give the timestep as a fraction; for example, dtime=1/32. The new version of the code also uses dtout to specify the time between data outputs, instead of freqout to specify the frequency of outputs.
If you prefer to continue using freq and freqout, you can compile the code with the USEFREQ preprocessor symbol; see the Makefile for details. Note that if you want to resume calculations from state files generated with Version 1.3, you must compile Version 1.4 with USEFREQ.
In addition, the mathfns.h file in Version 1.4 has additional definitions to use alternate naming conventions for single-precision math functions. This is useful when compiling under some versions of LINUX.
I no longer have access to an IBM AIX system for testing, so I have removed a compilation option specific to that operating system. Earlier tests indicated that sumnode and sumcell ran more efficiently under IBM AIX if the local variables in these routines were declared double instead of real. I do not know if this is still the case.
The treecode software depends on a number of include files and function libraries, collectively known as the `Zeno System'. These files define keywords, data types, and library routines useful in C programs.
stdinc.h is a standard include file. It defines some constants and data types, and provides prototypes for a few functions from a general-purpose C library. The following constants and types are used in treecode.
The following functions, used in treecode, have prototypes in stdinc.h; their source code is given in clib.c.
allocate is a memory-allocation function. Its prototype is
void *allocate(int nbyte);where nbyte is the number of bytes to allocate. The allocate function exits via error if it can't get the requested amount of memory. The memory is cleared before allocate returns.
cputime returns the total process CPU time in minutes. Its prototype is
error reports an error and exits. Its prototype is
void error(string fmt, ...);The fmt string and any further arguments are interpreted exactly like the system routine printf, but output to stderr instead of stdout.
scanopt scans an option string for a keyword. Its prototype is
bool scanopt(string opts, string word);where opts is a series of words separated by commas, and word is a single keyword; it returns TRUE if word appears in opts, and FALSE otherwise.
stropen opens a stdio.h stream for input/output. Its prototype is
stream stropen(string file, string mode);
mathfns.h defines real versions of the math functions in math.h, along with some extensions. Most function name are derived from their counterparts in math.h by prepending the letter `r' (for real). The following functions are used by treecode; sources appear in mathfns.c.
rsqrt computes a real-valued square root. Its prototype is
real rsqrt(real x);
rsqr computes the inverse of rsqrt. Its prototype is
real rsqr(real x);
rpow computes a real-valued power. Its prototype is
real rpow(real x, real y);
rabs computes a real absolute value. Its prototype is
real rabs(real x);
xrandom generates a random number between specified limits. Its prototype is
double xrandom(double x1, double x2);
pickshell picks a point on the surface of a shell in an n-dimensional space. Its prototype is
void pickshell(real *point, int ndim, real radius);
getparam.h defines a general command-line argument processing package. Source code is given in getparam.c. This package provides the client program with a simple self-documenting user interface. The user may specify arguments by position or by keyword; defaults are supplied for all arguments not specified. Used in treecode are the following.
initparam initializes the command-line processing package. Its prototype is
void initparam(string argv, string defv);where argv is the NULL-terminated vector of command-line arguments supplied to main, and defv is a vector of parameter names, default values, and documentation messages.
getparam returns the value of a parameter. Its prototype is
string getparam(string name);where name is the name of the parameter as supplied to initparam. An error occurs if name is not found.
getiparam returns the integer value of a parameter. Its prototype is
int getiparam(string name);
getdparam returns the double-precision floating-point value of a parameter. Its prototype is
double getdparam(string name);
getbparam returns the boolean value of a parameter. Its prototype is
bool getbparam(string name);
getparamstat returns an indication of parameter status. Its prototype is
int getparamstat(string name);
vectdefs.h defines vectors and matrices. The number of dimensions is a compile-time constant, specified by the preprocessor symbols THREEDIM, TWODIM, and NDIM; the default is THREEDIM. The types defined are as follows.
vectmath.h defines a collection of macros for operating on vectors and matrices. Those used by treecode are listed below.
s = sqrt(vi vi)
pij = qij + rij
ui = vi + wi
pij = 0
vi = 0
s = sqrt((vi - ui)(vi - ui))
vi = ui / s
s = vi ui
pij = qij s
vi = ui s
pij = vi uj
pij = qij
vi = ui
vi = s
pij = deltaij
pij = qij - rij
vi = ui - wi
There are also some macros defining compound operations specific to treecode. These are written so as to help the compiler produce good code in the force summation loops.
vi = vi + ui s
vi = vi + ui s + wi r
vj = pij ui and s = vj vj
vi = ui - wi and s = vi vi