high performance computing on graphics processing units: hgpu.org

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Performance Evaluation of Sparse Matrix Multiplication Kernels on Intel Xeon Phi

Erik Saule, Kamer Kaya, Umit V. Catalyurek

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Tags: Computer science, CUDA, Hardware Architecture, Intel, Intel Phi, Matrix multiplication, nVidia, Performance, Sparse matrix, Tesla C2050, Tesla K20

February 6, 2013 by hgpu

Survey On The Off-Chip Scheduling of Memory Accesses in the Memory Interface Of GPUs

Luis Angel Garrido Platero

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Tags: Computer science, CUDA, GPGPU-sim, Hardware Architecture, Memory, nVidia, Performance

January 31, 2013 by hgpu

GPUDet: A Deterministic GPU Architecture

Hadi Jooybar, Wilson W. L. Fung, Mike O'Connor, Joseph Devietti, Tor M. Aamodt

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Tags: Computer science, GPGPU-sim, Hardware Architecture, nVidia, nVidia GeForce GTX 480

January 29, 2013 by hgpu

Warped Register File: A Power Efficient Register File for GPGPUs

Mohammad Abdel-Majeed, Murali Annavaram

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Tags: Computer science, CUDA, GPGPU-sim, Hardware Architecture, nVidia, Performance

January 28, 2013 by hgpu

GPU Architecture and the Programming Environment

Stanislav Stankovic, Dusan Gajic, Radomir S. Stankovic

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Tags: Computer science, Hardware Architecture, Review

December 10, 2012 by hgpu

Dynamic Warp Resizing in High-Performance SIMT

Ahmad Lashgar, Amirali Baniasadi, Ahmad Khonsari

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Tags: Computer science, Hardware Architecture, Memory, Performance

August 14, 2012 by hgpu

Investigating Warp Size Impact in GPUs

Ahmad Lashgar, Amirali Baniasadi, Ahmad Khonsari

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Tags: Computer science, Hardware Architecture

May 23, 2012 by hgpu

Toolchain for programming, simulating and studying the XMT many-core architecture

Fuat Keceli, Alexandros Tzannes, George C. Caragea, Rajeev Barua, Uzi Vishkin

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Source codes

Tags: Algorithms, Compilers, Computer science, Hardware Architecture, nVidia, nVidia GeForce GTX 280, Package

December 24, 2011 by hgpu

The Future in Mobile Multicore Computing

Blake Hurd, Chiu C. Tan, Jie Wu

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Tags: Computer science, Hardware Architecture, Performance

December 20, 2011 by hgpu

A Comparison of Modern GPU and CPU Architectures: And the Common Convergence of Both

Jonathan Palacios, Josh Triska

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Tags: Computer science, Hardware Architecture, nVidia, Overview, Performance

December 17, 2011 by hgpu

Improving GPU Robustness by Making Use of Faulty Parts

Artem Durytskyy, Mohamed Zahran, Ramesh Karri

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Tags: Computer science, Fault simulation, Hardware Architecture, nVidia, Performance

December 16, 2011 by hgpu

DRAM Scheduling Policy for GPGPU Architectures Based on a Potential Function

Nagesh B. Lakshminarayana, Jaekyu Lee, Hyesoon Kim, Jinwoo Shin

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Tags: Computer science, Hardware Architecture, Memory

December 9, 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

See all packages

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high performance computing on graphics processing units: hgpu.org

Performance Evaluation of Sparse Matrix Multiplication Kernels on Intel Xeon Phi

Survey On The Off-Chip Scheduling of Memory Accesses in the Memory Interface Of GPUs

GPUDet: A Deterministic GPU Architecture

Warped Register File: A Power Efficient Register File for GPGPUs

GPU Architecture and the Programming Environment

Dynamic Warp Resizing in High-Performance SIMT

Investigating Warp Size Impact in GPUs

Toolchain for programming, simulating and studying the XMT many-core architecture

The Future in Mobile Multicore Computing

A Comparison of Modern GPU and CPU Architectures: And the Common Convergence of Both

Improving GPU Robustness by Making Use of Faulty Parts

DRAM Scheduling Policy for GPGPU Architectures Based on a Potential Function

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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