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Metaprogramming GPUs with Sh

Michael McCool, Stefanus Du Toit

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Tags: ATI, Book, Computer science, High-level Languages, nVidia, Sh

January 8, 2011 by hgpu

A hardware-aware debugger for the OpenGL shading language

Magnus Strengert, Thomas Klein, Thomas Ertl

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Tags: Computer science, GLSL, High-level Languages, nVidia, OpenGL, Package, Programming techniques

January 3, 2011 by hgpu

Source-to-Source Optimization of CUDA C for GPU Accelerated Cardiac Cell Modeling

Fred V. Lionetti, Andrew D. McCulloch, Scott B. Baden

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Tags: Computational biology, Computer science, CUDA, High-level Languages, nVidia, nVidia GeForce GTX 295, Optimization

December 29, 2010 by hgpu

Introduction to GPGPU programming

Jay E. Steele, Robert Cochran

Tags: Computer science, High-level Languages, Programming techniques, Review

December 29, 2010 by hgpu

NVIDIA CUDA software and gpu parallel computing architecture

David Kirk

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Tags: Computer science, CUDA, High-level Languages, nVidia, Presentation

December 28, 2010 by hgpu

CGiS, a new Language for Data-parallel GPU Programming

Nicolas Fritz, Philipp Lucas, Philipp Slusallek

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Tags: Cg, Computer science, High-level Languages, nVidia

December 26, 2010 by hgpu

MIMD Interpretation on a GPU

Henry G. Dietz, B. Dalton Young

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Tags: Algorithms, Computer science, CUDA, High-level Languages, nVidia, nVidia GeForce 8600 M GT, nVidia GeForce 8800 GTS, nVidia GeForce 9800 GT, nVidia GeForce GTX 280

December 21, 2010 by hgpu

A Cross-Input Adaptive Framework for GPU Programs Optimization

Yixun Liu, Eddy Z. Zhang, Xipeng Shen

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Tags: Computer science, CUDA, High-level Languages, nVidia, nVidia GeForce 8800 GT

December 18, 2010 by hgpu

OpenMP to GPGPU: a compiler framework for automatic translation and optimization

Seyong Lee, Seung-Jai Min, and Rudolf Eigenman

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Tags: Computer science, CUDA, High-level Languages, nVidia, nVidia Quadro FX 5600, OpenMP, Programming techniques

December 15, 2010 by hgpu

Compiler support for general-purpose computation on GPUs

Yu-Te Lin, Peng-Sheng Chen

Tags: Cg, Computer science, High-level Languages, nVidia, OpenGL

December 15, 2010 by hgpu

MCUDA: An Efficient Implementation of CUDA Kernels for Multi-core CPUs

John Stratton, Sam Stone, Wen-Mei Hwu

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Tags: Computer science, CUDA, High-level Languages, nVidia, Package

December 12, 2010 by hgpu

A compiler framework for optimization of affine loop nests for gpgpus

Muthu M. Baskaran, Uday Bondhugula, Sriram Krishnamoorthy, J. Ramanujam, Atanas Rountev, P. Sadayappan

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Tags: Computer science, CUDA, High-level Languages, nVidia, nVidia GeForce 8800 GTX, Optimization

December 12, 2010 by hgpu

Data-efficient LLM Fine-tuning for Code Generation

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

DeepCompile: A Compiler-Driven Approach to Optimizing Distributed Deep Learning Training

Large Language Model Powered C-to-CUDA Code Translation: A Novel Auto-Parallelization Framework

GigaAPI: a user-space API that simplifies multi-GPU programming, bridging the gap between the capabilities of parallel GPU systems and the ability of developers to harness their full potential

GigaAPI for GPU Parallelization

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

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high performance computing on graphics processing units: hgpu.org

Metaprogramming GPUs with Sh

A hardware-aware debugger for the OpenGL shading language

Source-to-Source Optimization of CUDA C for GPU Accelerated Cardiac Cell Modeling

Introduction to GPGPU programming

NVIDIA CUDA software and gpu parallel computing architecture

CGiS, a new Language for Data-parallel GPU Programming

MIMD Interpretation on a GPU

A Cross-Input Adaptive Framework for GPU Programs Optimization

OpenMP to GPGPU: a compiler framework for automatic translation and optimization

Compiler support for general-purpose computation on GPUs

MCUDA: An Efficient Implementation of CUDA Kernels for Multi-core CPUs

A compiler framework for optimization of affine loop nests for gpgpus

Recent source codes

PELSI: Power-Efficient Layer-Switched Inference

Ouroboros: Virtualized Queues for dynamic memory management

MSCCL++: A GPU-driven communication stack for scalable AI applications

Benchmark compute shader of Unity against InteropUnityCUDA

Data-efficient LLM Fine-tuning for Code Generation

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

Large Language Model Powered C-to-CUDA Code Translation: A Novel Auto-Parallelization Framework

GigaAPI: a user-space API that simplifies multi-GPU programming, bridging the gap between the capabilities of parallel GPU systems and the ability of developers to harness their full potential

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

DuoReduce: MLIR's benchmark

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