high performance computing on graphics processing units: hgpu.org

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Parallel Data List Processing on Multicore-GPU Platforms

Carlos Alberto Martinez-Angeles, Jorge Buenabad-Chavez, Miguel Alfonso Castro-Garcia, Jose Luis Quiroz-Fabian

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Tags: Computer science, CUDA, Memory, nVidia, nVidia GeForce GTX 460, Performance

August 30, 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

Optimizing MapReduce for GPUs with effective shared memory usage

Linchuan Chen, Gagan Agrawal

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Tags: Computer science, Heterogeneous systems, MapReduce, Memory, nVidia, nVidia Quadro FX 5800, Performance

July 16, 2012 by hgpu

GPUs as an Opportunity for Offloading Garbage Collection

Martin Maas, Philip Reames, Jeffrey Morlan, Krste Asanovic, Anthony D. Joseph, John Kubiatowicz

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Tags: Algorithms, APU, Computer science, Memory, OpenCL, Performance

June 29, 2012 by hgpu

ScatterAlloc: Massively Parallel Dynamic Memory Allocation for the GPU

Steinberger Markus, Kenzel Michael, Kainz Bernhard, Schmalstieg Dieter

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Source codes

Tags: Computer science, CUDA, Hashing, Memory, nVidia, nVidia Quadro FX 6000, Package

June 16, 2012 by hgpu

The Tradeoffs of Fused Memory Hierarchies in Heterogeneous Computing Architectures

Kyle Spafford, Jeremy S. Meredith, Seyong Lee, Dong Li, Philip C. Roth, Jeffrey S. Vetter

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Tags: APU, ATI, ATI FirePro V8800, ATI Radeon HD 5670, Computer science, Heterogeneous systems, Memory, OpenCL, Performance

June 6, 2012 by hgpu

TAP: A TLP-Aware Cache Management Policy for a CPU-GPU Heterogeneous Architecture

Jaekyu Lee, Hyesoon Kim

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Tags: Computer science, Heterogeneous systems, Memory, Performance

January 25, 2012 by hgpu

Design and study of a massively multi threaded shared memory architecture

Christophe Riolo

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Tags: Algorithms, Computer science, CUDA, Memory, nVidia, Tesla C2070, Thesis

December 12, 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

Scalable Multi-Cache Simulation Using GPUs

Michael Moeng, Sangyeun Cho, Rami Melhem

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Tags: Analytical model, Computer science, CUDA, FPGA, Memory, nVidia, nVidia GeForce GTS 450

November 27, 2011 by hgpu

Partitioned Memory Parallel Programming Framework

Tarun Beri, Sorav Bansal, Subodh Kumar

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Tags: Computer science, Memory, nVidia, Performance, Tesla C1060

November 26, 2011 by hgpu

Parallelizing Multicore Cache Simulations using Heterogeneous Computing on General Purpose and Graphics Processors

Nikolaos Strikos, Georgios Keramidas, Stefanos Kaxiras

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Tags: Computer science, CUDA, Heterogeneous systems, Memory, nVidia, nVidia GeForce 8800 GTX

November 22, 2011 by hgpu

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

gpu_tracker: Python package for tracking and profiling GPU utilization in both desktop and high-performance computing environments

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

LOOPer: A Learned Automatic Code Optimizer For Polyhedral Compilers

OpenMC Monte Carlo Code

Performance Portable Monte Carlo Particle Transport on Intel, NVIDIA, and AMD GPUs

Polygeist: C/C++ frontend for MLIR

Retargeting and Respecializing GPU Workloads for Performance Portability

Parallel Gaussian process with kernel approximation in CUDA

Optical flow algorithms for SYCL

SYCL in the edge: performance and energy evaluation for heterogeneous acceleration

OpenMP5-Offload-OpenMC-Intel-PVC

Distributed OpenMP Offloading of OpenMC on Intel GPU MAX Accelerators

See all packages

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high performance computing on graphics processing units: hgpu.org

Parallel Data List Processing on Multicore-GPU Platforms

Dynamic Warp Resizing in High-Performance SIMT

Optimizing MapReduce for GPUs with effective shared memory usage

GPUs as an Opportunity for Offloading Garbage Collection

ScatterAlloc: Massively Parallel Dynamic Memory Allocation for the GPU

The Tradeoffs of Fused Memory Hierarchies in Heterogeneous Computing Architectures

TAP: A TLP-Aware Cache Management Policy for a CPU-GPU Heterogeneous Architecture

Design and study of a massively multi threaded shared memory architecture

DRAM Scheduling Policy for GPGPU Architectures Based on a Potential Function

Scalable Multi-Cache Simulation Using GPUs

Partitioned Memory Parallel Programming Framework

Parallelizing Multicore Cache Simulations using Heterogeneous Computing on General Purpose and Graphics Processors

Recent source codes

QArray

Celerity: High-level C++ for Accelerator Clusters

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

OpenMC Monte Carlo Code

Polygeist: C/C++ frontend for MLIR

Parallel Gaussian process with kernel approximation in CUDA

Optical flow algorithms for SYCL

OpenMP5-Offload-OpenMC-Intel-PVC

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