Search Results for "high performance computing"
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Showing 17 open source projects for "high performance computing"
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Codon
A high-performance, zero-overhead, extensible Python compiler
Codon is a high-performance Python compiler that compiles Python code to native machine code without any runtime overhead. Typical speedups over Python are on the order of 100x or more, on a single thread. Codon supports native multithreading which can lead to speedups many times higher still. The Codon framework is fully modular and extensible, allowing for the seamless integration of new modules, compiler optimizations, domain-specific languages and so on. -
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Odin
Odin Programming Language
Odin is a general-purpose programming language with distinct typing built for high performance, modern systems, and data-oriented programming. Odin has been designed for readability, scalability, and orthogonality of concepts. Simplicity is complicated to get right, clear is better than clever. Odin allows for the highest performance through low-level control over the memory layout, memory management, custom allocators and so much more. -
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LFortran
Official main repository for LFortran
LFortran is a modern open-source (BSD licensed) interactive Fortran compiler built on top of LLVM. It can execute the user’s code interactively to allow exploratory work (much like Python, MATLAB or Julia) as well as compile binaries with the goal of running the user’s code on modern architectures such as multi-core CPUs and GPUs. LFortran is in alpha (it is expected to not work on third-party codes and users enthusiastically participate in bug reporting and fixing). -
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ispc
Intel SPMD Program Compiler
ispc is a compiler for a variant of the C programming language, with extensions for single programs, and multiple data programming. Under the SPMD model, the programmer writes a program that generally appears to be a regular serial program, though the execution model is actually that a number of program instances execute in parallel on the hardware. ispc compiles a C-based SPMD programming language to run on the SIMD units of CPUs and GPUs; it frequently provides a 3x or more speedup on... -
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RE/flex lexical analyzer generator
The regex-centric, fast lexical analyzer generator for C++
A C++ high-performance regex library and Flex-compatible lexical analyzer generator with full Unicode support, new indentation anchors, lazy quantifiers, and many other modern features. Accepts Flex lexer specification syntax and is compatible with Bison/Yacc parsers. Generates reusable source code that is easy to understand. Supports fast scanning of UTF-8/16/32 files, strings, and streams. -
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MANOOL
Programming language with expressive power and a simple implementation
MANOOL is a practical, homoiconic, dynamic, multiparadigm general-purpose programming language with a functional core. It has high expressive power but is implemented in less than 10K LOC of optimized, idiomatic C++11 for native run-time environments. MANOOL is meant to compare and compete directly with Python, PHP, Ruby, Perl, and Tcl, although incidentally it has some combination of unusual features. Example: {{extern "manool.org.18/std/0.2/all"} in WriteLine[Out; "Hello, world!"]} ... -
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FastSim consists of: - 'Facile' a highly flexible and expressive processor-architecture specification-language. - A compiler for the specifications which produces high-performance, fast-forwarding simulators.
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X10
Performance and Productivity at Scale
X10 is a class-based, strongly-typed, garbage-collected, object-oriented language. To support concurrency and distribution, X10 uses the Asynchronous Partitioned Global Address Space programming model (APGAS). This model introduces two key concepts -- places and asynchronous tasks -- and a few mechanisms for coordination. With these, APGAS can express both regular and irregular parallelism, message-passing-style and active-message-style computations, fork-join and bulk-synchronous... -
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Pyc
python compiler
https://github.com/jplevyak/pyc Pyc is a python compiler intended for high performance computing and programming-in-the-large. It uses the IFA library to statically analyze python programs, catch potential errors and generate efficient code. -
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HIPAcc
Heterogeneous Image Processing Acceleration (HIPACC) Framework
HIPAcc development has moved to github: https://github.com/hipacc HIPAcc allows to design image processing kernels and algorithms in a domain-specific language (DSL). From this high-level description, low-level target code for GPU accelerators is generated using source-to-source translation. As back ends, the framework supports CUDA, OpenCL, and Renderscript. HIPAcc allows programmers to develop imaging applications while providing high productivity, flexibility and portability as well as competitive performance: the same algorithm description serves as basis for targeting different GPU accelerators and low-level languages. -
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TCE
The Tensor Contraction Engine
A domain-specific compiler that facilitates the generation of high-performance parallel programs for a class of scientific computations encountered in chemistry and physics. -
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Tsunami is an open-source high performance computing language. With it you can write streaming data-parallel algorithms that utilize GPGPUs for orders-of-magnitude speed-up with the ease of writing sequential algorithms.
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Brook+ is a high level C-like language with extensions for stream programming on different compute devices such as CPUs and GPUs. Supports an ATI CAL and x86 CPU backend. Keywords : GPGPU, GPU Computing, HPC
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SSEPlus is a SIMD function library. It provides optimized emulation for newer SSE instructions. It also provides a rich set of high performance routines for common operations such as arithmetic, bitwise logic, and data packing and unpacking.
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This is the Aspen project - a language for high performance, scalable network services. The project consists of a compiler for the Aspen language and an associated runtime which dynamically allocates the appropriate number of threads for any workload.
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The Lagniappe programming environment aims to give developers of high-performance packet processing applications a thourough and high-level toolset. This project provides a translator for the Lagniappe language and the Lagniappe Execution Environment.
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...A bytecode compiled scriping language. Bytecode architecture with separate compiler and interpreter/disassembler. Platform-independant bytecode based stackmchine, which has a fine arithmitical/raw-computing performance. B
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