Search Results for "fine programs"

...Many of the GameMaker Linux games also run fine. (There’s a long list, among them are Undertale, A Risk of Rain, or Cook Serve Delicious.) Box64 is the 64bits version of Box86. It is used to run x86_64 binaries on ARM64 (i.e. aarch64) Linux. There are some YouTube channels where you can see box86 and box64 in action: MicroLinux, PILabs, and The Byteman at least.

...Many of the GameMaker Linux games also run fine. (There’s a long list, among them are Undertale, A Risk of Rain, or Cook Serve Delicious.) Box64 is the 64-bit version of Box86. It is used to run x86_64 binaries on ARM64 (i.e. aarch64) Linux. It can also run on RiSC-V and Loongarch machines.

FastFlow is a C/C++ programming framework supporting the development of pattern-based parallel programs on multi/many-core, GPUs and distributed platforms. FastFlow run-time is built upon non-blocking threads and lock-free queues. Thanks to its very efficient CAS-free communication/synchronization support (e.g. few clock cycles core-to-core latency), FastFlow effectively supports the exploitation of fine grain parallelism, e.g. parallel codes managing very high frequency streams on commodity multi-core. ...

IFEFFIT is a library and set of interactive programs for the analysis of x-ray absorption fine-structure (XAFS) data. IFEFFIT combines state-of-the-art analysis algorithms with graphical display of XAFS data, and general data manipulation. It can be

News: since 2015 we continue all related developments within Collective Knowledge Framework: http://github.com/ctuning/ck/wiki Alchemist plugin is a collection of plugins for GCC/LLVM for external and fine-grain code analysis and tuning. It is intended to to extract program properties for machine learning based optimization (see MILEPOST GCC); optimize programs at fine-grain level (such as unrolling, tiling, prefetching, etc); tune default optimization heuristic; gradually decompose program and detect performance or other anomalies; generate benchmarks particularly useful to train ML-based compilers. ...