high performance computing on graphics processing units: hgpu.org

hgpu.org » Tesla C2050

Advanced Trends of Heterogeneous Computing with CPU-GPU Integration: Comparative Study

Ishan Rajani, G Nanda Gopal

View

Tags: AMD FireStream 9270, ATI, Computer science, CUDA, Distributed computing, Heterogeneous systems, nVidia, OpenCL, Tesla C2050, Warp level parallelism

January 26, 2013 by hgpu

Autotuning, Code Generation and Optimizing Compiler Technology for GPUs

Malik Muhammad Zaki Murtaza Khan

View

Download (PDF)

Tags: Code generation, Computer science, CUBLAS, CUDA, Linear Algebra, nVidia, Tesla C2050, Thesis

January 26, 2013 by hgpu

Orthogonalization on a General Purpose Graphics Processing Unit with Double Double and Quad Double Arithmetic

Jan Verschelde, Genady Yoffe

View

Download (PDF)

Tags: Algorithms, CUDA, Extended precision, Mathematics, nVidia, Tesla C2050

January 25, 2013 by hgpu

Locality-Aware Work Stealing on Multi-CPU and Multi-GPU Architectures

Thierry Gautier, Joao V. F. Lima, Nicolas Maillard, Bruno Raffin

View

Download (PDF)

Source codes

Tags: Computer science, CUDA, Factorization, Heterogeneous systems, Linear Algebra, nVidia, Package, Tesla C2050

January 25, 2013 by hgpu

Programmability and Performance Portability Aspects of Heterogeneous Multi-/Manycore Systems

Christoph Kessler, Usman Dastgeer, Samuel Thibault, Raymond Namyst, Andrew Richards, Uwe Dolinsky, Siegfried Benkner, Jesper Larsson Traff, Sabri Pllana

View

Download (PDF)

Tags: Computer science, CUDA, Heterogeneous systems, MPI, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 480, Performance, Tesla C1060, Tesla C2050

January 24, 2013 by hgpu

Data parallel patterns on CPU/GPU mix

T. Serban, M. Danelutto, M. Coppola

View

Download (PDF)

Tags: Computer science, CUDA, Data parallelism, nVidia, nVidia GeForce GT 540, nVidia GeForce GTX 285, Tesla C2050

January 22, 2013 by hgpu

The PEPPHER Composition Tool: Performance-Aware Dynamic Composition of Applications for GPU-based Systems

Usman Dastgeer, Lu Li, Christoph Kessler

View

Download (PDF)

Tags: Computer science, CUDA, Heterogeneous systems, nVidia, Performance, Tesla C1060, Tesla C2050

January 22, 2013 by hgpu

Duality based optical flow algorithms with applications

Lars Lau Raket

View

Download (PDF)

Tags: Computer science, Computer vision, CUDA, nVidia, Optical flow, Tesla C2050

January 19, 2013 by hgpu

Three Dimensional Fast Fourier Transform CUDA Implementation

Kumar Aatish, Boyan Zhang

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, FFT, nVidia, Tesla C2050

January 15, 2013 by hgpu

Two Approaches to Particle Simulation: OpenMPI and CUDA

Bjorn Christian Seime, Matteo Mannino, Terje Runde

View

Download (PDF)

Tags: Computer science, CUDA, MPI, N-body simulation, nVidia, nVidia GeForce GTX 280, OpenMPI, Particle simulation, Tesla C2050

January 15, 2013 by hgpu

Automatic scanning of nuclear emulsions with wide-angle acceptance for nuclear fragment detection

T. Fukuda, S. Fukunaga, H. Ishida, K. Kodama, T. Matsuo, S. Mikado, S. Ogawa, H. Shibuya, J. Sudo

View

Download (PDF)

Tags: CUDA, High Energy Physics - Experiment, Nuclear Experiment, Nuclear physics, nVidia, nVidia GeForce GTX 680, Physics, Tesla C2050

January 11, 2013 by hgpu

Parallel Computing of Discrete Element Method on GPU

Teruyoshi Washizawa, Yasuhiro Nakahara

View

Download (PDF)

Tags: Computational Engineering, Computer science, CUDA, nVidia, OpenCL, Tesla C2050

January 11, 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

Advanced Trends of Heterogeneous Computing with CPU-GPU Integration: Comparative Study

Autotuning, Code Generation and Optimizing Compiler Technology for GPUs

Orthogonalization on a General Purpose Graphics Processing Unit with Double Double and Quad Double Arithmetic

Locality-Aware Work Stealing on Multi-CPU and Multi-GPU Architectures

Programmability and Performance Portability Aspects of Heterogeneous Multi-/Manycore Systems

Data parallel patterns on CPU/GPU mix

The PEPPHER Composition Tool: Performance-Aware Dynamic Composition of Applications for GPU-based Systems

Duality based optical flow algorithms with applications

Three Dimensional Fast Fourier Transform CUDA Implementation

Two Approaches to Particle Simulation: OpenMPI and CUDA

Automatic scanning of nuclear emulsions with wide-angle acceptance for nuclear fragment detection

Parallel Computing of Discrete Element Method on GPU

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)