high performance computing on graphics processing units: hgpu.org

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

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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

Reducing GPU Offload Latency via Fine-Grained CPU-GPU Synchronization

Daniel Lustig, Margaret Martonosi

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 580, Performance

January 23, 2013 by hgpu

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

Usman Dastgeer, Lu Li, Christoph Kessler

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

January 22, 2013 by hgpu

Performance Analysis and Tuning For: General-Purpose Graphics Processing Units (GPGPU)

Hyesoon Kim, Richard Vuduc, Wen-mei Hwu, Sara Baghsorkhi

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Tags: Algorithms, Book, Computer science, CUDA, Fast multipole method, N-body simulation, nVidia, OpenCL, Optimization, Particle simulation, Performance, Review

January 17, 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

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high performance computing on graphics processing units: hgpu.org

Performance Evaluation of Sparse Matrix Multiplication Kernels on Intel Xeon Phi

An Implementation of Conflict-Free Offline Permutation on the GPU

Portable Performance on Heterogeneous Architectures

Improving GPGPU Concurrency with Elastic Kernels

OWL: Cooperative Thread Array Aware Scheduling Techniques for Improving GPGPU Performance

Survey On The Off-Chip Scheduling of Memory Accesses in the Memory Interface Of GPUs

Exploring Different Automata Representations for Efficient Regular Expression Matching on GPUs

Warped Register File: A Power Efficient Register File for GPGPUs

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

Reducing GPU Offload Latency via Fine-Grained CPU-GPU Synchronization

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

Performance Analysis and Tuning For: General-Purpose Graphics Processing Units (GPGPU)

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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