high performance computing on graphics processing units: hgpu.org

hgpu.org » Performance

Explorations of the Viability of ARM and Xeon Phi for Physics Processing

David Abdurachmanov, Kapil Arya, Josh Bendavid, Tommaso Boccali, Gene Cooperman, Andrea Dotti, Peter Elmer, Giulio Eulisse, Francesco Giacomini, Christopher D. Jones, Matteo Manzali, Shahzad Muzaffar

View

Download (PDF)

Tags: ARM, Computational Physics, High Energy Physics - Experiment, Intel Phi, Intel Xeon Phi, Performance, Physics

November 11, 2013 by hgpu

Performance Analysis of Sobel Edge Detection Filter on GPU using CUDA & OpenGL

Khyati Shah

View

Download (PDF)

Tags: Algorithms, CUDA, Image processing, nVidia, nVidia GeForce GT 130, OpenGL, Performance

November 10, 2013 by hgpu

Dynamic autotuning of adaptive fast multipole methods on hybrid multicore CPU & GPU systems

Marcus Holm, Stefan Engblom, Anders Goude, Sverker Holmgren

View

Download (PDF)

Source codes

Tags: Computer science, CUDA, Fast multipole method, nVidia, Package, Performance, Tesla M2050

November 6, 2013 by hgpu

Comparative Performance Analysis of Intel Xeon Phi, GPU, and CPU

George Teodoro, Tahsin Kurc, Jun Kong, Lee Cooper, Joel Saltz

View

Download (PDF)

Tags: Computer science, CUDA, Intel Phi, Intel Xeon Phi, Microscopy, nVidia, OpenMP, Performance, Task scheduling, Tesla K20

November 6, 2013 by hgpu

Parallelizing Alternating Direction Implicit Solver on GPUs

Zhangping Wei, Byunghyun Jang, Yaoxin Zhang, Yafei Jia

View

Download (PDF)

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

November 6, 2013 by hgpu

Performance of Kepler GTX Titan GPUs and Xeon Phi System

Hwancheol Jeong, Weonjong Lee, Jeonghwan Pak, Kwang-jong Choi, Sang-Hyun Park, Jun-sik Yoo, Joo Hwan Kim, Joungjin Lee, Young Woo Lee

View

Download (PDF)

Tags: Computational Physics, CUDA, Intel Phi, Intel Xeon Phi, nVidia, nVidia GeForce GTX Titan, Performance, Physics, Tesla K20

November 6, 2013 by hgpu

Batch Method for Efficient Resource Sharing in Real-time Multi-GPU Systems

Uri Verner, Avi Mendelson, Assaf Schuster

View

Download (PDF)

Tags: Computer science, CUDA, nVidia, OpenCL, Performance, Task scheduling, Tesla C2050, Tesla K10

November 4, 2013 by hgpu

A Locality-Aware Memory Hierarchy for Energy-Efficient GPU Architectures

Minsoo Rhu, Michael Sullivan, Jingwen Leng, Mattan Erez

View

Download (PDF)

Tags: Computer science, GPGPU-sim, Memory, Performance, Prefetch

October 29, 2013 by hgpu

Online Performance Projection for Clusters with Heterogeneous GPUs

Lokendra S. Panwar, Ashwin M. Aji, Jiayuan Mengz, Pavan Balajiy, Wu-chun Feng

View

Download (PDF)

Tags: ATI, ATI Radeon HD 5870, ATI Radeon HD 7970, Computer science, GPGPU-sim, GPU cluster, Heterogeneous systems, nVidia, OpenCL, Performance, Tesla C1060, Tesla C2050

October 25, 2013 by hgpu

An Empirical Study of Intel Xeon Phi

Jianbin Fang, Ana Lucia Varbanescu, Henk Sips, Lilun Zhang, Yonggang Che, Chuanfu Xu

View

Download (PDF)

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

October 25, 2013 by hgpu

Modeling system for GPU parallel tasks performance simulation

A.Y.Doroshenko, K.A. Zhereb, O.G.Beketov, M.V. Gnynjuk

View

Download (PDF)

Tags: Computer science, CUDA, Heterogeneous systems, Java, nVidia, nVidia GeForce GT 650 M, Performance

October 24, 2013 by hgpu

Concurrent kernel execution on Graphic Processing Units

Adrien Cassagne, Aurelien George, Benjamin Lorendeau, Jean-Charles Papin, Antoine Rougier

View

Download (PDF)

Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 660, nVidia Quadro 4000, OpenCL, Performance, Thesis

October 21, 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

Explorations of the Viability of ARM and Xeon Phi for Physics Processing

Performance Analysis of Sobel Edge Detection Filter on GPU using CUDA & OpenGL

Dynamic autotuning of adaptive fast multipole methods on hybrid multicore CPU & GPU systems

Comparative Performance Analysis of Intel Xeon Phi, GPU, and CPU

Parallelizing Alternating Direction Implicit Solver on GPUs

Performance of Kepler GTX Titan GPUs and Xeon Phi System

Batch Method for Efficient Resource Sharing in Real-time Multi-GPU Systems

A Locality-Aware Memory Hierarchy for Energy-Efficient GPU Architectures

Online Performance Projection for Clusters with Heterogeneous GPUs

An Empirical Study of Intel Xeon Phi

Modeling system for GPU parallel tasks performance simulation

Concurrent kernel execution on Graphic Processing Units

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)