Search Results for "cpu-g 64"

ChrysaLisp is a 64-bit, MIMD, multi-CPU, multi-threaded, multi-core, multi-user parallel operating system with features such as a GUI, terminal, OO Assembler, class libraries, C-Script compiler, Lisp interpreter, debugger, profiler, vector font engine, and more. It supports MacOS, Windows, and Linux for x64, Riscv64, and Arm64 and eventually will move to bare metal. It also allows the modeling of various network topologies and the use of ChrysaLib hub nodes to join heterogeneous host networks...

Use Keras models in C++ with ease. A lightweight header-only library for using Keras (TensorFlow) models in C++. Works out-of-the-box also when compiled into a 32-bit executable. (Of course, 64 bit is fine too.) Avoids temporarily allocating (potentially large chunks of) additional RAM during convolutions (by not materializing the im2col input matrix). Utterly ignores even the most powerful GPU in your system and uses only one CPU core per prediction. Quite fast on one CPU core, and you can run...

..., especially as related to line-drawing accuracy. Particular attention to detail concerning chopping of accumulation errors, using a cast from 64 bit to 32 bit strategy, in the interval [1.0,2.0). Individual pixel errors with overlapping polygons or line segments are about one in a billion, but I can't reproduce any errors at the moment by using random number generation with tens of millions of cases. Emphasis not only on correctness, but also on performance for real-world use or hardware implementation.

... supported group size is 911 bits. It is easy to compile the library for Android, ARM or x86 CPU. The API of the library is compatible with the PBC library. It is easy for the PBC library users to port their programs to this library, only with little modification.

Platform independend, multithreaded fractal generator. Fine control over thread/CPU usage; unlimited precision; smooth/random/function coloring; supports color map files (over 1600 available); many image file formats. For any Java 1.5+ (32/64 Bit) VM.