high performance computing on graphics processing units: hgpu.org

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Exploring Different Automata Representations for Efficient Regular Expression Matching on GPUs

Xiaodong Yu, Michela Becchi

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Tags: Cellular automata, Computer science, CUDA, nVidia, Performance, Security

January 28, 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

Programmability and Performance Portability Aspects of Heterogeneous Multi-/Manycore Systems

Christoph Kessler, Usman Dastgeer, Samuel Thibault, Raymond Namyst, Andrew Richards, Uwe Dolinsky, Siegfried Benkner, Jesper Larsson Traff, Sabri Pllana

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Tags: Computer science, CUDA, Heterogeneous systems, MPI, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 480, Performance, Tesla C1060, Tesla C2050

January 24, 2013 by hgpu

Reducing GPU Offload Latency via Fine-Grained CPU-GPU Synchronization

Daniel Lustig, Margaret Martonosi

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 580, Performance

January 23, 2013 by hgpu

The PEPPHER Composition Tool: Performance-Aware Dynamic Composition of Applications for GPU-based Systems

Usman Dastgeer, Lu Li, Christoph Kessler

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, Performance, Tesla C1060, Tesla C2050

January 22, 2013 by hgpu

Performance Analysis and Tuning For: General-Purpose Graphics Processing Units (GPGPU)

Hyesoon Kim, Richard Vuduc, Wen-mei Hwu, Sara Baghsorkhi

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Tags: Algorithms, Book, Computer science, CUDA, Fast multipole method, N-body simulation, nVidia, OpenCL, Optimization, Particle simulation, Performance, Review

January 17, 2013 by hgpu

Adaptive Dynamic Load Balancing in Heterogeneous Multiple GPUs-CPUs Distributed Setting: Case Study of B&B Tree Search

Trong-Tuan Vu, Bilel Derbel, Nouredine Melab

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, Optimization, Performance, Tesla T10

January 14, 2013 by hgpu

A Multi-GPU Programming Library for Real-Time Applications

Sebastian Schaetz, Martin Uecker

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Tags: Algorithms, CUDA, GPU cluster, Image reconstruction, Magnetic resonance imaging, MPI, MRI, nVidia, nVidia GeForce GTX 580, Performance, Signal processing

January 8, 2013 by hgpu

Performance comparison of gauss-Jordan elimination method using OpenMP and CUDA

Baha Sen, Nesrin Aydin Atasoy, Caner Ozcan

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Tags: Computer science, CUDA, nVidia, nVidia GeForce 9500 GT, OpenMP, Performance, Programming techniques

January 7, 2013 by hgpu

uBench: Performance Impact of CUDA Block Geometry

Yuri Torres, Arturo Gonzalez, Diego R. Llanos

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Tags: Benchmarking, Computer science, CUDA, nVidia, nVidia GeForce GTX 480, nVidia GeForce GTX 680, Performance

January 3, 2013 by hgpu

KFusion: Obtaining Modularity and Performance with Regards to General Purpose GPU Computing and Co-processors

Liam Kiemele

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Source codes

Tags: Compilers, Computer science, nVidia, OpenCL, Package, Performance, Tesla C2075, Thesis

December 20, 2012 by hgpu

An Automatic Host and Device Memory Allocation Method for OpenMPC

Hiroaki Uchiyama, Tomoaki Tsumura, Hiroshi Matsuo

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Tags: Computer science, CUDA, Memory model, nVidia, nVidia GeForce GTX 280, OpenMP, Performance, Tesla C1060

December 20, 2012 by hgpu

Efficient Graph Embedding at Scale: Optimizing CPU-GPU-SSD Integration

Can Large Language Models Predict Parallel Code Performance?

PELSI: Power-Efficient Layer-Switched Inference

Efficient deep learning inference on end devices

Ouroboros: Virtualized Queues for dynamic memory management

Dynamic Memory Management on GPUs with SYCL

See all packages

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high performance computing on graphics processing units: hgpu.org

Exploring Different Automata Representations for Efficient Regular Expression Matching on GPUs

Warped Register File: A Power Efficient Register File for GPGPUs

Programmability and Performance Portability Aspects of Heterogeneous Multi-/Manycore Systems

Reducing GPU Offload Latency via Fine-Grained CPU-GPU Synchronization

The PEPPHER Composition Tool: Performance-Aware Dynamic Composition of Applications for GPU-based Systems

Performance Analysis and Tuning For: General-Purpose Graphics Processing Units (GPGPU)

Adaptive Dynamic Load Balancing in Heterogeneous Multiple GPUs-CPUs Distributed Setting: Case Study of B&B Tree Search

A Multi-GPU Programming Library for Real-Time Applications

Performance comparison of gauss-Jordan elimination method using OpenMP and CUDA

uBench: Performance Impact of CUDA Block Geometry

KFusion: Obtaining Modularity and Performance with Regards to General Purpose GPU Computing and Co-processors

An Automatic Host and Device Memory Allocation Method for OpenMPC

Recent source codes

XaaS containers

microSYCL: SYCL micro-benchmarks repository

SYCL Container

CASS: Cuda-Amd aSSembly

Cluser of smartphones for edge computing application using TensorFlow

CFAL-bench

Efficient Graph Embedding at Scale: Optimizing CPU-GPU-SSD Integration

Can Large Language Models Predict Parallel Code Performance?

PELSI: Power-Efficient Layer-Switched Inference

Ouroboros: Virtualized Queues for dynamic memory management

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