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Data Layout Transformation Exploiting Memory-Level Parallelism in Structured Grid Many-Core Applications

I-Jui Sung, John A. Stratton, Wen-Mei W. Hwu

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Tags: Compilers, Computer science, CUDA, Data Structures and Algorithms, nVidia, nVidia GeForce GTX 280

February 20, 2011 by hgpu

Compiler Support for High-level GPU Programming

Tianyi David Han and Tarek S. Abdelrahman

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

February 19, 2011 by hgpu

A Strategy for Automatically Generating High Performance CUDA Code for a GPU Accelerator from a Specialized Fortran Code Expression

Pei-Hung Lin, Jagan Jayaraj, and Paul R. Woodward

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Tags: Cell processor, Code generation, Compilers, Computer science, CUDA, Fortran, High-level Languages, Memory model, nVidia, Tesla C1060

February 17, 2011 by hgpu

GpuC: Data parallel language extension to CUDA

Zeki Bozkus

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Tags: Compilers, Computer science, CUDA, High-level Languages, nVidia, OpenMP, Optimization

February 16, 2011 by hgpu

Automatically Generating Efficient Simulation Codes on GPUs from Partial Differential Equations

K.A. Hawick and D.P. Playne

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Tags: Code generation, Compilers, Computer science, CUDA, Finite difference, nVidia, Partial differential equations, PDEs

February 14, 2011 by hgpu

Copperhead: Compiling an embedded data parallel language

Bryan Catanzaro, Michael Garland and Kurt Keutzer

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Tags: Code generation, Compilers, Computer science, CUDA, High-level Languages, nVidia, nVidia GeForce GTX 480, Package

February 13, 2011 by hgpu

Loop Transformation Recipes for Code Generation and Auto-Tuning

Mary Hall, Jacqueline Chame, Chun Chen, Jaewook Shin, Gabe Rudy, Malik Khan

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

February 12, 2011 by hgpu

Cg: a system for programming graphics hardware in a C-like language

William R. Mark, R. Steven Glanville, Kurt Akeley, Mark J. Kilgard

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Tags: 3D Graphics and Realism, Cg, Code generation, Compilers, Computer science, High-level Languages, nVidia, Package, Review

February 10, 2011 by hgpu

Automatic C-to-CUDA Code Generation for Affine Programs

Muthu Baskaran, J. Ramanujam, P. Sadayappan

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Tags: Code generation, Compilers, Computer science, CUDA, nVidia, nVidia GeForce 8800 GTX

February 8, 2011 by hgpu

Automatic program parallelization for multicore processors

Jan Kwiatkowski, Radoslaw Iwaszyn

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Tags: Compilers, Computer science

February 8, 2011 by hgpu

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

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

Data Layout Transformation Exploiting Memory-Level Parallelism in Structured Grid Many-Core Applications

Compiler Support for High-level GPU Programming

A Strategy for Automatically Generating High Performance CUDA Code for a GPU Accelerator from a Specialized Fortran Code Expression

GpuC: Data parallel language extension to CUDA

Automatically Generating Efficient Simulation Codes on GPUs from Partial Differential Equations

Copperhead: Compiling an embedded data parallel language

Loop Transformation Recipes for Code Generation and Auto-Tuning

Cg: a system for programming graphics hardware in a C-like language

Automatic C-to-CUDA Code Generation for Affine Programs

Automatic program parallelization for multicore processors

Optimal automatic multi-pass shader partitioning by dynamic programming

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

Recent source codes

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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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