high performance computing on graphics processing units: hgpu.org

hgpu.org » Performance

Where is the data? Why you cannot debate CPU vs. GPU performance without the answer

Chris Gregg, Kim Hazelwood

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Tags: Computer science, nVidia, nVidia GeForce 9800 GT, nVidia GeForce GT 330 M, nVidia GeForce GTX 480, Performance, Review, Tesla C2050

May 11, 2011 by hgpu

Data-aware scheduling of legacy kernels on heterogeneous platforms with distributed memory

Michela Becchi, Surendra Byna, Srihari Cadambi, Srimat Chakradhar

Tags: Computer science, CUDA, Distributed data structures, Heterogeneous systems, nVidia, Performance, Programming Languages, Sparse matrix, Tesla C870

May 10, 2011 by hgpu

Twin peaks: a software platform for heterogeneous computing on general-purpose and graphics processors

Jayanth Gummaraju, Laurent Morichetti, Michael Houston, Ben Sander, Benedict R. Gaster, Bixia Zheng

Tags: ATI, Computer science, High-level Languages, OpenCL, Performance, Programming techniques

May 10, 2011 by hgpu

A GPU-inspired soft processor for high-throughput acceleration (thesis)

Jeffrey Richard Code Kingyens

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Tags: ATI, ATI CTM, Cg, Computational Engineering, Computer science, FPGA, nVidia, Performance, Thesis

May 8, 2011 by hgpu

A GPU-inspired soft processor for high-throughput acceleration

Jeffrey Richard Code Kingyens, J. Gregory Steffan

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Tags: ATI, ATI CTM, Cg, Computational Engineering, Computer science, FPGA, nVidia, Performance

May 8, 2011 by hgpu

Accelerating floating-point fitness functions in evolutionary algorithms: a FPGA-CPU-GPU performance comparison

Juan Gomez-Pulido, Miguel Vega-Rodriguez, Juan Sanchez-Perez, Silvio Priem-Mendes, Vitor Carreira

Tags: Computer science, Evolutionary Computations, FPGA, Genetic programming, Performance

May 4, 2011 by hgpu

Pushing the limits for medical image reconstruction on recent standard multicore processors

Jan Treibig, Georg Hager, Hannes G. Hofmann, Joachim Hornegger, Gerhard Wellein

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Tags: Computed tomography, Computer science, CT, CUDA, Image reconstruction, nVidia, nVidia GeForce GTX 260, nVidia Quadro FX 5800, OpenMP, Performance

April 29, 2011 by hgpu

Exploiting SPMD Horizontal Locality to Improve Memory Efficiency

C. Gou, G. Gaydadjiev

Tags: Computer science, Memory, Performance

April 25, 2011 by hgpu

Optimized HPL for AMD GPU and multi-core CPU usage

Matthias Bach, Matthias Kretz, Volker Lindenstruth, David Rohr

Tags: ATI, ATI Radeon HD 5870, Computer science, GPU cluster, Heterogeneous systems, Linear Algebra, MPI, Performance

April 25, 2011 by hgpu

A performance prediction model for the CUDA GPGPU platform

Kishore Kothapalli, Rishabh Mukherjee, M. Suhail Rehman, Suryakant Patidar, P. J. Narayanan, Kannan Srinathan

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Tags: Computer science, CUDA, Matrix multiplication, nVidia, nVidia GeForce GTX 280, Performance

April 21, 2011 by hgpu

HPP-Controller: An intra-node controller designed for connecting heterogeneous CPUs

Qiang Li, Panyong Zhang, Ninghui Sun

Tags: Cell processor, Computer science, FPGA, Heterogeneous systems, Memory, Performance

April 19, 2011 by hgpu

Single-Chip Heterogeneous Computing: Does the Future Include Custom Logic, FPGAs, and GPGPUs?

Eric S. Chung, Peter A. Milder, James C. Hoe, Ken Mai

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Tags: ASIC, ATI, ATI CAL, ATI Radeon HD 5870, Computer science, CUDA, FPGA, Heterogeneous systems, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 480, Performance

April 19, 2011 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

Where is the data? Why you cannot debate CPU vs. GPU performance without the answer

Data-aware scheduling of legacy kernels on heterogeneous platforms with distributed memory

Twin peaks: a software platform for heterogeneous computing on general-purpose and graphics processors

A GPU-inspired soft processor for high-throughput acceleration (thesis)

A GPU-inspired soft processor for high-throughput acceleration

Accelerating floating-point fitness functions in evolutionary algorithms: a FPGA-CPU-GPU performance comparison

Pushing the limits for medical image reconstruction on recent standard multicore processors

Exploiting SPMD Horizontal Locality to Improve Memory Efficiency

Optimized HPL for AMD GPU and multi-core CPU usage

A performance prediction model for the CUDA GPGPU platform

HPP-Controller: An intra-node controller designed for connecting heterogeneous CPUs

Single-Chip Heterogeneous Computing: Does the Future Include Custom Logic, FPGAs, and GPGPUs?

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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