high performance computing on graphics processing units: hgpu.org

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High-performance Computing in China: Research and Applications

Ninghui Sun, David Kahaner, Debbie Chen

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Tags: Computer science, GPU cluster, Hardware Architecture, Performance, Review

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

Early experiences with the intel many integrated cores accelerated computing technology

L. Koesterke, J. Boisseau, J. Cazes, K. Milfeld, D. Stanzione

Tags: Algorithms, Computer science, Intel, OpenMP, Performance

September 11, 2011 by hgpu

Task Superscalar: An Out-of-Order Task Pipeline

Yoav Etsion, Felipe Cabarcas, Alejandro Rico, Alex Ramirez, Rosa M. Badia, Eduard Ayguade, Jesus Labarta, Mateo Valero

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Tags: Benchmarking, Cell processor, Computer science, Performance, Programming techniques

September 11, 2011 by hgpu

High-performance SIMT code generation in an active visual effects library

Jay L.T. Cornwall, Lee Howes, Paul H.J. Kelly, Phil Parsonage, Bruno Nicoletti

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Tags: Algorithms, Code generation, CUDA, Image processing, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 260, Performance, Software Engineering, Visualization

September 11, 2011 by hgpu

Software-based branch predication for AMD GPUs

Ryan Taylor, Xiaoming Li

Tags: ATI, Benchmarking, Computer science, Performance, Programming techniques

September 11, 2011 by hgpu

Automatic CPU-GPU communication management and optimization

Thomas B. Jablin, Prakash Prabhu, James A. Jablin, Nick P. Johnson, Stephen R. Beard, David I. August

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 480, Optimization, Performance, Programming techniques

September 7, 2011 by hgpu

High performance computation and interactive display of molecular orbitals on GPUs and multi-core CPUs

John E. Stone, Jan Saam, David J. Hardy, Kirby L. Vandivort, Wen-mei W. Hwu, Klaus Schulten

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Tags: Algorithms, Chemistry, CUDA, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 280, Performance, Programming techniques, Rendering, Visualization

September 7, 2011 by hgpu

MacroSS: macro-SIMDization of streaming applications

Amir H. Hormati, Yoonseo Choi, Mark Woh, Manjunath Kudlur, Rodric Rabbah, Trevor Mudge, Scott Mahlke

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Tags: Code generation, Compilers, Computer science, Optimization, Performance, Programming Languages

September 7, 2011 by hgpu

A code-based analytical approach for using separate device coprocessors in computing systems

Volker Hampel, Grigori Goronzy, Erik Maehle

Tags: Computer science, FPGA, Performance

September 7, 2011 by hgpu

GPU-based asynchronous particle swarm optimization

Luca Mussi, Youssef S.G. Nashed, Stefano Cagnoni

Tags: Algorithms, Computer science, CUDA, Genetic programming, nVidia, Optimization, Performance

September 7, 2011 by hgpu

NVIDIA Nemotron Parse 1.1

ThunderKittens: Tile primitives for speedy kernels

ParallelKittens: Systematic and Practical Simplification of Multi-GPU AI Kernels

Iris: AMD RAD's multi-GPU Triton-based framework for seamless multi-GPU programming

Iris: First-Class Multi-GPU Programming Experience in Triton

HipKittens: Fast and Furious AMD Kernels

CudaForge: An Agent Framework with Hardware Feedback for CUDA Kernel Optimization

pplx-garden: Perplexity open source garden for inference technology

RDMA Point-to-Point Communication for LLM Systems

LC Framework

Characterizing the Performance of Parallel Data-Compression Algorithms across Compilers and GPUs

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high performance computing on graphics processing units: hgpu.org

High-performance Computing in China: Research and Applications

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

Early experiences with the intel many integrated cores accelerated computing technology

Task Superscalar: An Out-of-Order Task Pipeline

High-performance SIMT code generation in an active visual effects library

Software-based branch predication for AMD GPUs

Automatic CPU-GPU communication management and optimization

High performance computation and interactive display of molecular orbitals on GPUs and multi-core CPUs

MacroSS: macro-SIMDization of streaming applications

A code-based analytical approach for using separate device coprocessors in computing systems

GPU-based asynchronous particle swarm optimization

Recent source codes

NVIDIA Nemotron Parse 1.1

ThunderKittens: Tile primitives for speedy kernels

Iris: AMD RAD's multi-GPU Triton-based framework for seamless multi-GPU programming

HipKittens: Fast and Furious AMD Kernels

Fortran xDSL dialects

mt4g: Memory Topology 4 GPUs

Falcon: GPU-Based Floating-point Adaptive Lossless Compression

CudaForge: An Agent Framework with Hardware Feedback for CUDA Kernel Optimization

pplx-garden: Perplexity open source garden for inference technology

LC Framework

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