high performance computing on graphics processing units: hgpu.org

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Opportunities for Nonvolatile Memory Systems in Extreme-Scale High Performance Computing

Jeffrey S. Vetter, Sparsh Mittal

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Tags: cpu, Energy-efficient computing, GPU, high performance computing, Memory, Storage system

January 21, 2015 by sparsh0mittal

Harnessing GPU Computing in System-Level Software

Weibin Sun

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 480, Package, Security, Storage system, Thesis

September 30, 2014 by hgpu

GPUdrive: Reconsidering Storage Accesses for GPU Acceleration

Mustafa Shihab, Karl Taht, Myoungsoo Jung

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 480, Storage system

July 16, 2014 by hgpu

Realizing Accelerated Cost-Effective Distributed RAID

Aleksandr Khasymski, M. Mustafa Rafique, Ali R. Butt, Sudharshan S. Vazhkudai, Dimitrios S. Nikolopoulos

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Tags: Computer science, CUDA, nVidia, Storage system, Tesla C2070, Tesla X2090

June 13, 2014 by hgpu

Towards High-Performance and Cost-Effective Distributed Storage Systems with Information Dispersal Algorithms

Dongfang Zhao, Kent Burlingame, Corentin Debains, Pedro Alvarez-Tabio, Ioan Raicu

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Tags: Algorithms, Cloud, Computer science, CUDA, nVidia, nVidia GeForce GT 640, Storage system

August 29, 2013 by hgpu

Parallel Memory Defragmentation on a GPU

Ronald Veldema, Michael Philippsen

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Tags: Algorithms, Computer science, CUDA, Memory model, nVidia, nVidia GeForce GTX 560 Ti, Performance, Storage system

July 6, 2012 by hgpu

On the Use of GPUs in Realizing Cost-Effective Distributed RAID

Aleksandr Khasymski, M. Mustafa Rafique, Ali R. Butt, Sudharshan S. Vazhkudai, Dimitrios S. Nikolopoulos

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Tags: Computer science, CUDA, nVidia, nVidia GeForce 9500 GT, Storage system, Tesla C2070

July 3, 2012 by hgpu

GPUstore: Harnessing GPU Computing for Storage Systems in the OS Kernel

Weibin Sun, Robert Ricci, Matthew L. Curry

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Tags: Computer science, CUDA, Data recovery, nVidia, nVidia GeForce GTX 480, Package, Security, Storage system

March 26, 2012 by hgpu

Shredder: GPU-Accelerated Incremental Storage and Computation

Pramod Bhatotia, Rodrigo Rodrigues, Akshat Verma

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Tags: Cloud, Computer science, CUDA, MapReduce, nVidia, Storage system, Tesla C2050

February 24, 2012 by hgpu

GPUs as Storage System Accelerators

Samer Al-Kiswany, Abdullah Gharaibeh, Matei Ripeanu

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Tags: Computer science, CUDA, Hashing, nVidia, Security, Storage system, Tesla C2050

February 17, 2012 by hgpu

Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

Profile Util library: A quick and easy way to get MPI, OpenMP and GPU runtime information

MaC: Mamba CPU performance predictor

MambaCPU: Enhanced Correlation Mining with State Space Models for CPU Performance Prediction

Mixed-precision finite element kernels

Mixed-precision finite element kernels and assembly: Rounding error analysis and hardware acceleration

SHMT: The Simultaneous and Heterogenous Multithreading project

General-Purpose Computing on Tensor Processors

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

Online Energy Optimization in GPUs: A Multi-Armed Bandit Approach

See all packages

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high performance computing on graphics processing units: hgpu.org

Opportunities for Nonvolatile Memory Systems in Extreme-Scale High Performance Computing

Harnessing GPU Computing in System-Level Software

GPUdrive: Reconsidering Storage Accesses for GPU Acceleration

Realizing Accelerated Cost-Effective Distributed RAID

Parallel Memory Defragmentation on a GPU

On the Use of GPUs in Realizing Cost-Effective Distributed RAID

GPUstore: Harnessing GPU Computing for Storage Systems in the OS Kernel

GPUs as Storage System Accelerators

Recent source codes

Kokkidio: Kokkos+Eigen - write fast, readable multi-platform code

LLaMA-Inference-Bench

MATAR

Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

MaC: Mamba CPU performance predictor

Mixed-precision finite element kernels

SHMT: The Simultaneous and Heterogenous Multithreading project

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

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