high performance computing on graphics processing units: hgpu.org

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Optimal automatic multi-pass shader partitioning by dynamic programming

Alan Heirich

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Tags: Algorithms, Compilers, Computer science, Image generation, OpenGL, Optimization, Shaders

February 7, 2011 by hgpu

Automatically translating a general purpose C++ image processing library for GPUs

Jay L. T. Cornwall, Olav Beckmann, Paul H. J. Kelly

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Tags: Compilers, Computer science, GLSL, High-level Languages, nVidia, nVidia GeForce 7800 GTX, OpenGL

February 6, 2011 by hgpu

Software Pipelined Execution of Stream Programs on GPUs

Abhishek Udupa, R. Govindarajan, Matthew J. Thazhuthaveeti

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Tags: Compilers, Computer science, CUDA, High-level Languages, nVidia, nVidia GeForce 8800 GTS, Package

February 5, 2011 by hgpu

OpenRCL: Low-Power High-Performance Computing with Reconfigurable Devices

Mingjie Lin, Ilia Lebedev, John Wawrzynek

Tags: Compilers, Computer science, FPGA, nVidia, nVidia GeForce 9400 M, OpenCL

January 31, 2011 by hgpu

Swan: A tool for porting CUDA programs to OpenCL

M. J. Harvey, G. De Fabritiis

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Tags: Compilers, Computer science, CUDA, nVidia, OpenCL, Package, Tesla C1060

January 22, 2011 by hgpu

A symbolic verifier for CUDA programs

Guodong Li, Ganesh Gopalakrishnan, Robert M. Kirby, Dan Quinlan

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Tags: Compilers, Computer science, CUDA, nVidia

January 16, 2011 by hgpu

FCUDA: Enabling Efficient Compilation of CUDA Kernels onto FPGAs

Ros Papakonstantinou, Karthik Gururaj, John A. Stratton, Deming Chen, Jason Cong, Wen-mei W. Hwu

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Tags: Compilers, Computer science, CUDA, FPGA, High-level Languages

January 11, 2011 by hgpu

Raising the level of many-core programming with compiler technology: meeting a grand challenge

Wen-mei Hwu

Tags: Compilers, Computer science, CUDA, nVidia, OpenCL, Programming techniques

January 9, 2011 by hgpu

Self-Configuring Applications for Heterogeneous Systems: Program Composition and Optimization Using Cognitive Techniques

M. W. Hall, Y. Gil, R. F. Lucas

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Tags: Compilers, Computer science, FPGA, nVidia, Optimization, Performance

January 8, 2011 by hgpu

Data transformations enabling loop vectorization on multithreaded data parallel architectures

Byunghyun Jang, Perhaad Mistry, Dana Schaa, Rodrigo Dominguez, David Kaeli

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Tags: ATI, ATI Radeon HD 3870, ATI Stream, Brook, Code generation, Compilers, Computer science, Optimization

January 7, 2011 by hgpu

Streamlining GPU applications on the fly: thread divergence elimination through runtime thread-data remapping

E. Z. Zhang, Y. Jiang, G. Ziyu, X. Shen

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Tags: Compilers, Computer science, CUDA, nVidia, Performance, Programming Languages, Tesla C1060

November 5, 2010 by hgpu

HPCTransCompile: An AI Compiler Generated Dataset for High-Performance CUDA Transpilation and LLM Preliminary Exploration

Efficient Graph Embedding at Scale: Optimizing CPU-GPU-SSD Integration

Can Large Language Models Predict Parallel Code Performance?

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high performance computing on graphics processing units: hgpu.org

Optimal automatic multi-pass shader partitioning by dynamic programming

Automatically translating a general purpose C++ image processing library for GPUs

Software Pipelined Execution of Stream Programs on GPUs

OpenRCL: Low-Power High-Performance Computing with Reconfigurable Devices

Swan: A tool for porting CUDA programs to OpenCL

A symbolic verifier for CUDA programs

FCUDA: Enabling Efficient Compilation of CUDA Kernels onto FPGAs

Raising the level of many-core programming with compiler technology: meeting a grand challenge

Self-Configuring Applications for Heterogeneous Systems: Program Composition and Optimization Using Cognitive Techniques

Data transformations enabling loop vectorization on multithreaded data parallel architectures

Streamlining GPU applications on the fly: thread divergence elimination through runtime thread-data remapping

Recent source codes

HPCTransCompile: An AI Compiler Generated Dataset for High-Performance CUDA Transpilation and LLM Preliminary Exploration

chemtrain: Training Molecular Dynamics Potentials in JAX

microSYCL: SYCL micro-benchmarks repository

XaaS containers

SYCL Container

CASS: Cuda-Amd aSSembly

Cluser of smartphones for edge computing application using TensorFlow

CFAL-bench

Efficient Graph Embedding at Scale: Optimizing CPU-GPU-SSD Integration

Can Large Language Models Predict Parallel Code Performance?

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