high performance computing on graphics processing units: hgpu.org

hgpu.org » Performance

Benchmarking Parallel Performance on Many-Core Processors

Bryant C. Lam, Ajay Barboza, Ravi Agrawal, Alan D. George, Herman Lam

View

Download (PDF)

Tags: Benchmarking, Computer science, Heterogeneous systems, Intel Phi, Intel Xeon Phi, Performance

November 29, 2013 by hgpu

The Future of Accelerator Programming: Abstraction, Performance or Can We Have Both?

Kamil Rocki, Martin Burtscher, Reiji Suda

View

Download (PDF)

Tags: ATI, ATI Radeon HD 7970, Computer science, Intel Phi, Intel Xeon Phi, nVidia, nVidia GeForce GTX Titan, OpenCL, Performance, Programming techniques

November 28, 2013 by hgpu

Hybrid Programming using OpenSHMEM and OpenACC

Matthew Baker, Swaroop Pophale, Jean-Charles Vasnier, Haoqiang Jin, Oscar Hernandez

View

Download (PDF)

Tags: Computer science, CUDA, MPI, nVidia, OpenACC, Performance, Tesla K20

November 28, 2013 by hgpu

Evaluating the Performance and Energy Efficiency of N-Body Codes on Multi-Core CPUs and GPUs

Ivan Zecena, Martin Burtscher, Tongdan Jin, Ziliang Zong

View

Download (PDF)

Tags: Computer science, CUDA, N-body simulation, nVidia, nVidia GeForce GTX 480, Performance

November 27, 2013 by hgpu

Exploring Graphics Processing Unit (GPU) Resource Sharing Efficiency for High Performance Computing

Teng Li, Vikram K. Narayana, Tarek El-Ghazawi

View

Download (PDF)

Tags: Computer science, CUDA, nVidia, Performance, Tesla C2070

November 24, 2013 by hgpu

Dynamic Partitioning-based JPEG Decompression on Heterogeneous Multicore Architectures

Wasuwee Sodsong, Jingun Hong, Seongwook Chung, Shin-Dug Kim, Bernd Burgstaller

View

Download (PDF)

Tags: Compression, Heterogeneous systems, Image processing, nVidia, nVidia GeForce GT 430, nVidia GeForce GTX 560 Ti, nVidia GeForce GTX 680, OpenCL, Performance

November 23, 2013 by hgpu

Multi-GPU Support on the Marrow Algorithmic Skeleton Framework

Fernando Jorge Marques Alexandre

View

Download (PDF)

Tags: ATI, ATI Radeon HD 7950, Computer science, CUDA, Heterogeneous systems, nVidia, OpenCL, Performance, Tesla C1060, Thesis

November 20, 2013 by hgpu

Adaptive implementation selection in the SkePU skeleton programming library

Usman Dastgeer, Lu Li, Christoph Kessler

View

Download (PDF)

Source codes

Tags: Computer science, CUDA, Machine learning, nVidia, OpenCL, Package, Performance, Tesla C1060, Tesla C2050

November 19, 2013 by hgpu

Performance and Power Comparisons Between Fermi and Cypress GPUs

Ying Zhang

View

Download (PDF)

Tags: ATI, ATI Radeon HD 5870, Benchmarking, Computer science, CUDA, Energy-efficient computing, nVidia, nVidia GeForce GTX 580, OpenCL, Performance, Thesis

November 18, 2013 by hgpu

SAGE: Self-Tuning Approximation for Graphics Engines

Mehrzad Samadi, Janghaeng Lee, D. Anoushe Jamshidi, Amir Hormati, Scott Mahlke

View

Download (PDF)

Tags: Algorithms, Code generation, Compilers, CUDA, Image processing, Machine learning, nVidia, nVidia GeForce GTX 560, Performance

November 14, 2013 by hgpu

Anatomy of High-Performance Many-Threaded Matrix Multiplication

Tyler M. Smith, Robert van de Geijn, Mikhail Smelyanskiy, Jeff R. Hammond, Field Van Zee

View

Download (PDF)

Source codes

Tags: Computer science, Intel Phi, Intel Xeon Phi, Matrix multiplication, Performance

November 13, 2013 by hgpu

Performance Evaluation of R with Intel Xeon Phi Coprocessor

Yaakoub El-Khamra, Niall Gaffney, David Walling, Eric Wernert, Weijia Xu, Hui Zhang

View

Download (PDF)

Source codes

Tags: Computer science, CUDA, CULA, High-level Languages, Intel Phi, Intel Xeon Phi, nVidia, Package, Performance, Tesla K20

November 12, 2013 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

* * *

high performance computing on graphics processing units: hgpu.org

Benchmarking Parallel Performance on Many-Core Processors

The Future of Accelerator Programming: Abstraction, Performance or Can We Have Both?

Hybrid Programming using OpenSHMEM and OpenACC

Evaluating the Performance and Energy Efficiency of N-Body Codes on Multi-Core CPUs and GPUs

Exploring Graphics Processing Unit (GPU) Resource Sharing Efficiency for High Performance Computing

Dynamic Partitioning-based JPEG Decompression on Heterogeneous Multicore Architectures

Multi-GPU Support on the Marrow Algorithmic Skeleton Framework

Adaptive implementation selection in the SkePU skeleton programming library

Performance and Power Comparisons Between Fermi and Cypress GPUs

SAGE: Self-Tuning Approximation for Graphics Engines

Anatomy of High-Performance Many-Threaded Matrix Multiplication

Performance Evaluation of R with Intel Xeon Phi Coprocessor

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

Most viewed papers (last 30 days)