high performance computing on graphics processing units: hgpu.org

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Modeling of High Performance Programs to Support Heterogeneous Computing

Ferosh Jacob

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Tags: Computer science, CUDA, Heterogeneous systems, MapReduce, nVidia, OpenCL, Software Engineering, Tesla M2070, Thesis

April 9, 2013 by hgpu

GPGPU Test Suite Minimisation: Search Based Software Engineering Performance Improvement Using Graphics Cards

Shin Yoo, Mark Harman, Shmuel Ur

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Tags: Algorithms, ATI, ATI Radeon HD 4850, Computer science, Java, OpenCL, Software Engineering

March 21, 2013 by hgpu

A GPU-Based Parallel Algorithm for Design Structure Matrix (DSM) Partition

Jing Yuxin,Huang Yu,Shikun Zhang, Cui Weilong

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Tags: Algorithms, Computer science, CUDA, nVidia, Software Engineering

December 10, 2012 by hgpu

Lightweight Modular Staging and Embedded Compilers: Abstraction Without Regret for High-Level High-Performance Programming

Tiark Rompf

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Tags: Code generation, Compilers, Computer science, CUDA, Heterogeneous systems, nVidia, Performance, Software Engineering, Tesla C2050, Thesis

December 8, 2012 by hgpu

Efficient Hybrid Execution of C++ Applications using Intel(R) Xeon Phi(TM) Coprocessor

Jiri Dokulil, Enes Bajrovic, Siegfried Benkner, Sabri Pllana, Martin Sandrieser, Beverly Bachmayer

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Tags: Computer science, Intel, Intel Phi, Software Engineering

December 2, 2012 by hgpu

Medical Image Registration using OpenCL

Sachitsing Dwarkan

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Tags: Algorithms, ATI, ATI Radeon HD 5870, ATI Radeon HD 6750 M, Image processing, Image registration, Medicine, OpenCL, Software Engineering, Thesis

May 23, 2012 by hgpu

Constructing Natural Neighbor Interpolation Based Grid DEM Using CUDA

Simin You, Jianting Zhang

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Tags: Algorithms, Computer science, CUDA, Databases, nVidia, nVidia GeForce GTX 480, Software Engineering

May 10, 2012 by hgpu

GPU Acceleration for the C++ Standard Template Library

Christian DeLozier

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Source codes

Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce 9600 GT, nVidia GeForce GTX 570, OpenCL, Package, Programming techniques, Software Engineering

May 2, 2012 by hgpu

Verifying GPU Kernels by Test Amplification

Alan Leung, Manish Gupta, Yuvraj Agarwal, Rajesh Gupta, Ranjit Jhala

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Tags: Computer science, CUDA, nVidia, Programming Languages, Software Engineering

April 12, 2012 by hgpu

Full system simulation of many-core heterogeneous SoCs using GPU and QEMU semihosting

Shivani Raghav, Christian Pinto, Martino Ruggiero, Andrea Marongiu, David Atienza, Luca Benini

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, Operating systems, Software Engineering, Tesla C2070

March 26, 2012 by hgpu

Synthesizing Software from a ForSyDe Model Targeting GPGPUs

Gabriel Hjort Blindell

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Tags: Computer science, CUDA, Data parallelism, nVidia, nVidia Quadro FX 600, nVidia Quadro NVS 290, Software Engineering, Thesis

March 6, 2012 by hgpu

Reuse and Refactoring of GPU Kernels to Design Complex Applications

Santonu Sarkar, Sayantan Mitra, Ashok Srinivasan

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Tags: Computer science, CUDA, FFT, Molecular dynamics, nVidia, nVidia GeForce GTX 480, Optimization, Software Engineering, Tesla S1050

February 24, 2012 by hgpu

HipKittens: Fast and Furious AMD Kernels

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

LC Framework

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

pplx-garden: Perplexity open source garden for inference technology

RDMA Point-to-Point Communication for LLM Systems

OpScanner

A Study of Floating-Point Precision Tuning in Deep Learning Operators Implementations

Atlas CLI: Machine Learning (ML) Lifecycle & Transparency Manager

Scalable GPU-Based Integrity Verification for Large Machine Learning Models

transformers_tvm: Implementation of Encoder Decoder transformer on TVM

Enhancing Transformer Performance and Portability through Auto-tuning Frameworks

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high performance computing on graphics processing units: hgpu.org

Modeling of High Performance Programs to Support Heterogeneous Computing

GPGPU Test Suite Minimisation: Search Based Software Engineering Performance Improvement Using Graphics Cards

A GPU-Based Parallel Algorithm for Design Structure Matrix (DSM) Partition

Lightweight Modular Staging and Embedded Compilers: Abstraction Without Regret for High-Level High-Performance Programming

Efficient Hybrid Execution of C++ Applications using Intel(R) Xeon Phi(TM) Coprocessor

Medical Image Registration using OpenCL

Constructing Natural Neighbor Interpolation Based Grid DEM Using CUDA

GPU Acceleration for the C++ Standard Template Library

Verifying GPU Kernels by Test Amplification

Full system simulation of many-core heterogeneous SoCs using GPU and QEMU semihosting

Synthesizing Software from a ForSyDe Model Targeting GPGPUs

Reuse and Refactoring of GPU Kernels to Design Complex Applications

Recent source codes

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

LC Framework

pplx-garden: Perplexity open source garden for inference technology

OpScanner

Atlas CLI: Machine Learning (ML) Lifecycle & Transparency Manager

transformers_tvm: Implementation of Encoder Decoder transformer on TVM

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