| ## E.2 Parallel computing # Parallel computing in SINGULAR The available ressources are given by the number of cpus (set by the command line parameter `--cpus=..`, or the environment variable `SINGULAR_CPUS`, defaults to the number of processors currently online) and the number of threads (set by the command line parameter `--threads=..`, defaults to 1). Threads are currently used with FLINT and NTL. If SINGULAR is uses as a libary, the default are 1 in botrh cases. Setting `--cpus` to 0 disables the creation of new processes and chooses a sequentiell algorithm if possible. Setting `--cpus` to 1 chooses a sequentiell algorithm in many cases. Using parallel algorithms can reduce the overall computing time, by can also increase the memory usage by a factor given by the number of used cpu cores. Via modular methods, requires QQ as coefficient field: assPrimes: assPrimes chinrem: chinrem farey: farey locNormal: locNormal modNormal: modNormal modPrimdecGTZ: modPrimdecGTZ, see also: primdecGTZ modQuotient: modQuotient, see also: quotient modSat: modSat, see also: sat modStd: modStd, see also: std, groebner pdf: pfd syModStd: syModStd system("verifyGB",I): system zeroRadical: zeroRadical Via modular methods, requires ZZ as coefficient domain: primdecZ: primdecZ Via modular methods, requires a function field over QQ as coefficient field: ffmodStd: ffmodStd Via modular methods, requires a algebraic field over QQ as coefficient field: nfmodStd: nfmodStd nfmodSyz: nfmodSyz Via different algorithms: primdec: primdec minAss: minAss signatureNemethi: signatureNemethi Frameworks for parallel algorithms: for modular methods: modular_lib for different algorithms at once: watchdog

User manual for Singular version 4.4.1, 2025, generated by texi2html.