high performance computing on graphics processing units: hgpu.org

M. Torquati, M. Vanneschi, M. Amini, S. Guelton, R. Keryell, V. Lanore, F.-X. Pasquier, M. Barreteau, R. Barrere, T. Petrisor, E. Lenormand, C. Cantini, F. De Stefani

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Tags: Algorithms, Code generation, Computer science, CUDA, Filtering, nVidia, nVidia GeForce GTX 480, OpenCL, Tesla C2050

April 10, 2012 by hgpu

Fine-Grained Treatment to Synchronizations in GPU-to-CPU Translation

Ziyu Guo, Xipeng Shen

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Tags: Code generation, Compilers, Computer science, CUDA, nVidia

April 4, 2012 by hgpu

A computing origami: Optimized code generation for emerging parallel platforms

Hagiescu Miriste Andrei Mihai

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Tags: Code generation, Computer science, CUDA, FPGA, nVidia, nVidia GeForce 8800 GTX, Optimization, Tesla S1070, Thesis

March 29, 2012 by hgpu

Improving Performance of OpenCL on CPUs

Ralf Karrenberg, Sebastian Hack

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Tags: Code generation, Computer science, Data parallelism, OpenCL, Performance

March 27, 2012 by hgpu

OpenMPC: Extended OpenMP for Efficient Programming and Tuning on GPUs

Seyong Lee, Rudolf Eigenmann

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Tags: Code generation, Computer science, CUDA, nVidia, nVidia Quadro FX 5600, OpenMP, Performance, Programming techniques

March 26, 2012 by hgpu

Expressive Array Constructs in an Embedded GPU Kernel Programming Language

Koen Claessen, Mary Sheeran, Bo Joel Svensson

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Tags: Algorithms, Code generation, Computer science, CUDA, Data parallelism, nVidia, nVidia GeForce GTX 480, OpenCL, Package, Sorting

March 13, 2012 by hgpu

Scalable framework for mapping streaming applications onto multi-GPU systems

Huynh Phung Huynh, Andrei Hagiescu, Weng-Fai Wong, Rick Siow Mong Goh

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Tags: Algorithms, Code generation, Computer science, CUDA, GPU cluster, nVidia, Tesla C2070

March 8, 2012 by hgpu

Coccinelle: a C code transformation engine using SmPL for matches, refactorings, and bug fixing

Advances in Semantic Patching for HPC-oriented Refactorings with Coccinelle

DuoReduce: MLIR's benchmark

Hardware-Assisted Software Testing and Debugging for Heterogeneous Computing

Shamrock: Multi-GPU hydrodynamics for astrophysics

The Shamrock code: I- Smoothed Particle Hydrodynamics on GPUs

LLMPerf: GPU Performance Modeling meets Large Language Models

Hercules: A Compiler for Productive Programming of Heterogeneous Systems

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high performance computing on graphics processing units: hgpu.org

High-Performance Code Generation for Stencil Computations on GPU Architectures

Lynx: A Dynamic Instrumentation System for Data-Parallel Applications on GPGPU Architectures

The Bones Source-to-Source Compiler Manual

An Automatic OpenCL Compute Kernel Generator for Basic Linear Algebra Operations

Performance Exploration of Selected Manually and Automatically Parallelized Codes on GPUs

An innovative compilation tool-chain for embedded multi-core architectures

Fine-Grained Treatment to Synchronizations in GPU-to-CPU Translation

A computing origami: Optimized code generation for emerging parallel platforms

Improving Performance of OpenCL on CPUs

OpenMPC: Extended OpenMP for Efficient Programming and Tuning on GPUs

Expressive Array Constructs in an Embedded GPU Kernel Programming Language

Scalable framework for mapping streaming applications onto multi-GPU systems

Recent source codes

Coccinelle: a C code transformation engine using SmPL for matches, refactorings, and bug fixing

DuoReduce: MLIR's benchmark

Shamrock: Multi-GPU hydrodynamics for astrophysics

LLMPerf: GPU Performance Modeling meets Large Language Models

Hercules: A Compiler for Productive Programming of Heterogeneous Systems

Celerity Runtime: High-level C++ for Accelerator Clusters

wgpy: WebGL accelerated numpy-compatible array library for web browser

Microbenchmarking OpenMP target offload with Catch2

SUperman: Highly Efficient Permanent Computation Library

TransCL: An Automatic CUDA-to-OpenCL Programs Transformation Framework

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