high performance computing on graphics processing units: hgpu.org

hgpu.org » High-level Languages

GPU Programming in a High Level Language: Compiling X10 to CUDA

Dave Cunningham, Rajesh Bordawekar, Vijay Saraswat

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Tags: Benchmarking, Computer science, CUDA, Heterogeneous systems, High-level Languages, nVidia, nVidia Quadro FX 3700 M, OpenCL, Tesla C1060, Tesla S1070

December 12, 2011 by hgpu

Performance Analysis of GPU compared to Single-core and Multi-core CPU for Natural Language Applications

Shubham Gupta, M.Rajasekhara Babu

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Tags: Computer science, CUDA, High-level Languages, nVidia, nVidia GeForce GT 210 M, OpenMP, Performance, String matching

December 6, 2011 by hgpu

Conflux: Embedding Massively Parallel Semantics in a High-Level Programming Language

Eugene Burmako, Rauf Sadykhov

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

November 21, 2011 by hgpu

Using the High Productivity Language Chapel to Target GPGPU Architectures

Albert Sidelnik, Maria J. Garzaran, David Padua, Bradford L. Chamberlain

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Tags: Compilers, Computer science, CUDA, High-level Languages, nVidia, nVidia GeForce GTX 280, Optimization

November 19, 2011 by hgpu

Neon: A Domain-Specific Programming Language for Image Processing

Brian Guenter, Diego Nehab

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Tags: ATI, ATI Radeon HD 4850, ATI Radeon HD 5870, Code generation, DirectX, High-level Languages, HLSL, Image processing, nVidia, nVidia GeForce GTX 470, Pixel shaders

November 18, 2011 by hgpu

Scientific GPU Programming with Data-Flow Languages

Daniel Goodman, Mikel Lujan

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

November 17, 2011 by hgpu

A scripting language for Digital Content Creation applications

Mohammed Yousef, Ahmed Hashem, Hassan Saad, Amr Gamal, Osama Galal, Khaled F. Hussain

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Tags: 3D Graphics and Realism, Computer science, GLSL, High-level Languages, nVidia, OpenCL

September 12, 2011 by hgpu

A design pattern language for engineering (parallel) software: merging the PLPP and OPL projects

Kurt Keutzer, Berna L. Massingill, Timothy G. Mattson, Beverly A. Sanders

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Tags: Algorithms, Computer science, High-level Languages, Performance, Programming techniques

September 11, 2011 by hgpu

A breadth-first course in multicore and manycore programming

Suzanne Rivoire

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

August 27, 2011 by hgpu

CnC-CUDA: declarative programming for GPUs

Max Grossman, Alina Simion Sbirlea, Zoran Budimlic, Vivek Sarkar

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Tags: Computer science, CUDA, High-level Languages, nVidia, nVidia GeForce GTX 480, Performance

August 24, 2011 by hgpu

Implementing the PGI Accelerator model

Michael Wolfe

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Tags: Compilers, Computer science, CUDA, High-level Languages, nVidia, OpenMP, Optimization, Programming Languages, Tesla C1060, Tesla S1070

August 23, 2011 by hgpu

Ypnos: declarative, parallel structured grid programming

Dominic A. Orchard, Max Bolingbroke, Alan Mycroft

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

August 23, 2011 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

GPU Programming in a High Level Language: Compiling X10 to CUDA

Performance Analysis of GPU compared to Single-core and Multi-core CPU for Natural Language Applications

Conflux: Embedding Massively Parallel Semantics in a High-Level Programming Language

Using the High Productivity Language Chapel to Target GPGPU Architectures

Neon: A Domain-Specific Programming Language for Image Processing

Scientific GPU Programming with Data-Flow Languages

A scripting language for Digital Content Creation applications

A design pattern language for engineering (parallel) software: merging the PLPP and OPL projects

A breadth-first course in multicore and manycore programming

CnC-CUDA: declarative programming for GPUs

Implementing the PGI Accelerator model

Ypnos: declarative, parallel structured grid programming

Recent source codes

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

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

Can Large Language Models Predict Parallel Code Performance?

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