high performance computing on graphics processing units: hgpu.org

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Productive High Performance Parallel Programming with Auto-tuned Domain-Specific Embedded Languages

Shoaib Ashraf Kamil

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 280, Performance, Programming techniques, Thesis

December 16, 2012 by hgpu

Vectorized Higher Order Finite Difference Kernels

Gerhard Zumbusch

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Tags: Algorithms, ATI, ATI Radeon HD 6990, ATI Radeon HD 7970, Computer science, Finite difference, nVidia, nVidia GeForce GTX 590, nVidia GeForce GTX 680, OpenCL, Performance, Tesla C2050, Tesla K20

December 10, 2012 by hgpu

Neither More Nor Less: Optimizing Thread-level Parallelism for GPGPUs

Onur Kayiran, Adwait Jog, Mahmut T. Kandemir, Chita R. Das

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Tags: Computer science, CUDA, nVidia, Performance

December 10, 2012 by hgpu

OpenMP Programming on Intel R Xeon Phi TM Coprocessors: An Early Performance Comparison

Tim Cramer, Dirk Schmidl, Michael Klemm, Dieter an Mey

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Tags: Benchmarking, Computer science, Intel, Intel Phi, OpenMP, Performance

December 8, 2012 by hgpu

Lightweight Modular Staging and Embedded Compilers: Abstraction Without Regret for High-Level High-Performance Programming

Tiark Rompf

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Tags: Code generation, Compilers, Computer science, CUDA, Heterogeneous systems, nVidia, Performance, Software Engineering, Tesla C2050, Thesis

December 8, 2012 by hgpu

FusionSim: Characterizing the Performance Benefits of Fused CPU/GPU Systems

Vitaly Zakharenko

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Source codes

Tags: AMD Fusion, Analytical model, Benchmarking, Computer science, Package, Performance, Thesis

December 4, 2012 by hgpu

Characterization and Performance Analysis for 3D Benchmarks

Joseph Issa

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Tags: Analytical model, ATI, ATI Radeon HD 3470, Benchmarking, Computer science, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce 9400 GT, nVidia GeForce 9500 GT, Performance

November 25, 2012 by hgpu

Location-based Matching in Publish/Subscribe Revisited

Mohammad Sadoghi, Hans-Arno Jacobsen

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Tags: Algorithms, Computer science, CUDA, Filtering, nVidia, nVidia GeForce GTX 460, Performance

November 25, 2012 by hgpu

Dataflow-driven GPU performance projection for multi-kernel transformations

Jiayuan Meng, Vitali A. Morozov, Venkatram Vishwanath, Kalyan Kumaran

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Tags: Computer science, CUDA, nVidia, nVidia Quadro FX 5600, Performance, Tesla C1060

November 20, 2012 by hgpu

Real-Time Scheduling Using GPUs – Advanced and More Accurate Proof of Feasibility

Peter Fodrek, Ludovit Farkas, Michal Blaho, Martin Foltin, Juraj Hnat, Tomas Murgas

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Tags: Benchmarking, Computer science, OpenCL, Performance, Task scheduling

November 14, 2012 by hgpu

Impact of GPU Memory Access Patterns on FDTD

Matthew Livesey, James F. Stack Jr., Fumie Costenz, Takeshi Nanri, Norimasa Nakashima, Seiji Fujino

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Tags: Computer science, CUDA, FDTD, Finite-difference time-domain, nVidia, Performance, Tesla M2050

October 30, 2012 by hgpu

Characterization and Exploitation of GPU Memory Systems

Kenneth Sydney Lee

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Tags: AMD Fusion, ATI, ATI Radeon HD 5870, ATI Radeon HD 7970, Computer science, Memory model, nVidia, nVidia GeForce GTX 280, OpenCL, Performance, Tesla C2075, Thesis

October 30, 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

Productive High Performance Parallel Programming with Auto-tuned Domain-Specific Embedded Languages

Vectorized Higher Order Finite Difference Kernels

Neither More Nor Less: Optimizing Thread-level Parallelism for GPGPUs

OpenMP Programming on Intel R Xeon Phi TM Coprocessors: An Early Performance Comparison

Lightweight Modular Staging and Embedded Compilers: Abstraction Without Regret for High-Level High-Performance Programming

FusionSim: Characterizing the Performance Benefits of Fused CPU/GPU Systems

Characterization and Performance Analysis for 3D Benchmarks

Location-based Matching in Publish/Subscribe Revisited

Dataflow-driven GPU performance projection for multi-kernel transformations

Real-Time Scheduling Using GPUs – Advanced and More Accurate Proof of Feasibility

Impact of GPU Memory Access Patterns on FDTD

Characterization and Exploitation of GPU Memory Systems

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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