high performance computing on graphics processing units: hgpu.org

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Enabling Traceability in MDE to Improve Performance of GPU Applications

Antonio Wendell De Oliveira Rodrigues, Vincent Aranega, Anne Etien, Frederic Guyomarc'H, Jean-Luc Dekeyser

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Tags: Algorithms, Computer science, nVidia, OpenCL, Performance, Programming techniques, Tesla S1070

February 7, 2012 by hgpu

Towards a Tunable Multi-Backend Skeleton Programming Framework for Multi-GPU Systems

Johan Enmyren, Usman Dastgeer, Christoph W. Kessler

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Tags: Code generation, Computer science, CUDA, Data parallelism, MapReduce, nVidia, nVidia GeForce GTS 250, OpenCL, Performance, Tesla C1060

January 30, 2012 by hgpu

Scalable Parallel Minimum Spanning Forest Computation

Sadegh Nobari, Thanh-Tung Cao, Panagiotis Karras, Stephane Bressan

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Tags: Algorithms, Computer science, CUDA, Graph theory, nVidia, Performance, Tesla S1070

January 25, 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

Dynamically Managed Data for CPU-GPU Architectures

Thomas B. Jablin, James A. Jablin, Prakash Prabhu, Feng Liu, David I. August

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Tags: Computer science, CUDA, Data Structures and Algorithms, Memory model, nVidia, nVidia GeForce GTX 480, Performance

January 19, 2012 by hgpu

FPGA Based Acceleration of Decimal Operations

Alberto Nannarelli

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Tags: Computer science, Finance, FPGA, Performance

January 16, 2012 by hgpu

Spectral Method Characterization on FPGA and GPU Accelerators

Karl Pereira, Peter Athanas, Heshan Lin, Wu Feng

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Tags: Computer science, CUDA, DSP, FFT, FPGA, nVidia, nVidia GeForce GTX 280, Performance, Tesla C2050

January 15, 2012 by hgpu

A Hybrid Circular Queue Method for Iterative Stencil Computations on GPUs

Yang Yang, Hui-Min Cui, Xiao-Bing Feng, Jing-Ling Xue

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Tags: Computer science, CUDA, nVidia, Performance, Tesla C2050

January 10, 2012 by hgpu

A class of communication-avoiding algorithms for solving general dense linear systems on CPU/GPU parallel machines

Marc Baboulin, Simplice Donfack, Laura Grigori, Adrien Remy, Stanimire Tomov, Jack Dongarra

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Tags: Algorithms, Computer science, CUDA, Factorization, Linear Algebra, nVidia, Performance, Tesla S2050

January 8, 2012 by hgpu

Block-asynchronous Multigrid Smoothers for GPU-accelerated Systems

Hartwig Anzt, Stanimire Tomov, Mark Gates, Jack Dongarra, Vincent Heuveline

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Tags: Algorithms, Computer science, CUDA, Linear Algebra, nVidia, Performance, Tesla C2070

January 8, 2012 by hgpu

Implementation of Kd-Trees on the GPU to Achieve Real Time Graphics Processing

Will W. Martin

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Tags: 3D Graphics and Realism, Algorithms, Computer science, KD-tree, nVidia, Performance, Raytracing

January 8, 2012 by hgpu

A GPU Implementation of Inclusion-based Points-to Analysis

Mario Mendez-Lojo, Martin Burtscher, Keshav Pingali

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Source codes

Tags: Algorithms, Computer science, CUDA, Graph theory, nVidia, Package, Performance, Programming techniques, Tesla C2070

January 5, 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

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high performance computing on graphics processing units: hgpu.org

Enabling Traceability in MDE to Improve Performance of GPU Applications

Towards a Tunable Multi-Backend Skeleton Programming Framework for Multi-GPU Systems

Scalable Parallel Minimum Spanning Forest Computation

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

Dynamically Managed Data for CPU-GPU Architectures

FPGA Based Acceleration of Decimal Operations

Spectral Method Characterization on FPGA and GPU Accelerators

A Hybrid Circular Queue Method for Iterative Stencil Computations on GPUs

A class of communication-avoiding algorithms for solving general dense linear systems on CPU/GPU parallel machines

Block-asynchronous Multigrid Smoothers for GPU-accelerated Systems

Implementation of Kd-Trees on the GPU to Achieve Real Time Graphics Processing

A GPU Implementation of Inclusion-based Points-to Analysis

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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