high performance computing on graphics processing units: hgpu.org

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Optimized HPL for AMD GPU and multi-core CPU usage

Matthias Bach, Matthias Kretz, Volker Lindenstruth, David Rohr

Tags: ATI, ATI Radeon HD 5870, Computer science, GPU cluster, Heterogeneous systems, Linear Algebra, MPI, Performance

April 25, 2011 by hgpu

Automatically generating and tuning GPU code for sparse matrix-vector multiplication from a high-level representation

Dominik Grewe, Anton Lokhmotov

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Tags: ATI, ATI Radeon HD 5970, Code generation, Computer science, CUDA, High-level Languages, Linear Algebra, nVidia, OpenCL, Sparse matrix, Tesla S1070

April 21, 2011 by hgpu

Single-Chip Heterogeneous Computing: Does the Future Include Custom Logic, FPGAs, and GPGPUs?

Eric S. Chung, Peter A. Milder, James C. Hoe, Ken Mai

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Tags: ASIC, ATI, ATI CAL, ATI Radeon HD 5870, Computer science, CUDA, FPGA, Heterogeneous systems, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 480, Performance

April 19, 2011 by hgpu

Extending the Scalability of Single Chip Stream Processors with On-chip Caches

Ali Bakhoda, Tor M. Aamodt

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Tags: ATI, Computer science, Hardware Architecture, Memory, nVidia

April 19, 2011 by hgpu

Many-Core vs. Many-Thread Machines: Stay Away From the Valley

Zvika Guz, Evgeny Bolotin, Idit Keidar, Avinoam Kolodny, Avi Mendelson, Uri C. Weiser

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Tags: ATI, Computer science, Intel, Larrabee, nVidia, Performance

April 18, 2011 by hgpu

FFT Implementation on a Streaming Architecture

J. Lobeiras, M. Amor, R. Doallo

Tags: ATI, Brook, FFT, Signal processing

April 10, 2011 by hgpu

GPGPU supported cooperative acceleration in molecular dynamics

Gang Chen, Guobo Li, Songwen Pei, Baifeng Wu

Tags: ATI, Brook, Chemistry, Molecular dynamics

April 5, 2011 by hgpu

A Static Task Partitioning Approach for Heterogeneous Systems Using OpenCL

Dominik Grewe, Michael O'Boyle

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Tags: ATI, ATI Radeon HD 5970, Benchmarking, Computer science, Heterogeneous systems, OpenCL, Package, Task scheduling

April 4, 2011 by hgpu

Parallel discrete wavelet transform using the Open Computing Language: a performance and portability study

B. Sharma, N. Vydyanathan

Tags: ATI, Image processing, nVidia, OpenCL, Performance, Wavelet

April 2, 2011 by hgpu

Speeding-up Pearson Correlation Coefficient calculation on graphical processing units

K.Berker Logoglu, Tugrul K. Ates

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Tags: ATI, ATI Radeon HD 5870, CUDA, nVidia, nVidia GeForce 8500 GT, nVidia GeForce 8600 M GT, nVidia GeForce GTX 285, OpenCL, Search, Signal processing

April 2, 2011 by hgpu

Poster: GPU-accelerated rigid body fitting of atomic structures into electron density maps

Edward W. Lowe Jr., Nils Woetzel, Jens Meiler

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Tags: ATI, ATI Radeon HD 5970, Biology, Cryo-EM, Molecular modeling, nVidia, nVidia GeForce GTX 470, OpenCL, Package, Poster, Tesla C1060, Tesla C2050

April 1, 2011 by hgpu

Poster: GPU-accelerated artificial neural network for QSAR modeling

Edward W. Lowe Jr., Nils Woetzel, Jens Meiler

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Tags: ATI, ATI Radeon HD 5970, Biology, Neural networks, nVidia, nVidia GeForce GTX 470, OpenCL, Poster, Tesla C1060, Tesla C2050

April 1, 2011 by hgpu

ParaCodex: A Profiling-Guided Autonomous Coding Agent for Reliable Parallel Code Generation and Translation

SeedFold: Scaling Biomolecular Structure Prediction

Tilus: A Tile-Level GPU Kernel Programming Language

Tilus: A Tile-Level GPGPU Programming Language for Low-Precision Computation

Memory-Efficient Acceleration of Block Low-Rank Foundation Models on Resource Constrained GPUs

CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning

BoltzGen:Toward Universal Binder Design

cuPilot: A Strategy-Coordinated Multi-agent Framework for CUDA Kernel Evolution

MATLAB Tensor Core models

Accurate Models of NVIDIA Tensor Cores

TritonForge: Transform PyTorch Operations into Optimized GPU Kernels with LLMs

TritonForge: Profiling-Guided Framework for Automated Triton Kernel Optimization

RLTune: Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

See all packages

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high performance computing on graphics processing units: hgpu.org

Optimized HPL for AMD GPU and multi-core CPU usage

Automatically generating and tuning GPU code for sparse matrix-vector multiplication from a high-level representation

Single-Chip Heterogeneous Computing: Does the Future Include Custom Logic, FPGAs, and GPGPUs?

Extending the Scalability of Single Chip Stream Processors with On-chip Caches

Many-Core vs. Many-Thread Machines: Stay Away From the Valley

FFT Implementation on a Streaming Architecture

GPGPU supported cooperative acceleration in molecular dynamics

A Static Task Partitioning Approach for Heterogeneous Systems Using OpenCL

Parallel discrete wavelet transform using the Open Computing Language: a performance and portability study

Speeding-up Pearson Correlation Coefficient calculation on graphical processing units

Poster: GPU-accelerated rigid body fitting of atomic structures into electron density maps

Poster: GPU-accelerated artificial neural network for QSAR modeling

Recent source codes

ParaCodex: A Profiling-Guided Autonomous Coding Agent for Reliable Parallel Code Generation and Translation

SeedFold: Scaling Biomolecular Structure Prediction

Tilus: A Tile-Level GPU Kernel Programming Language

Memory-Efficient Acceleration of Block Low-Rank Foundation Models on Resource Constrained GPUs

CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning

BoltzGen:Toward Universal Binder Design

cuPilot: A Strategy-Coordinated Multi-agent Framework for CUDA Kernel Evolution

MATLAB Tensor Core models

TritonForge: Transform PyTorch Operations into Optimized GPU Kernels with LLMs

RLTune: Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

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