high performance computing on graphics processing units: hgpu.org

Hyung Mok Lee, Eric-Olivier Le Bigot, ZhiHui Du, ZhangXi Lin, XiangYu Guo, LinQing Wen, Khun Sang Phukon, Vihan Pandey, Sukanta Bose, Xi-Long Fan, Martin Hendry

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Tags: Astrophysics, CUDA, Gravitation, Gravitational waves, nVidia, nVidia GeForce GTX 480, nVidia GeForce GTX 980, Tesla K20

February 19, 2016 by hgpu

Performance Portable GPU Code Generation for Matrix Multiplication

Toomas Remmelg, Thibaut Lutz, Michel Steuwer, Christophe Dubach

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Tags: ATI, ATI Radeon HD 7970, Code generation, Compilers, Computer science, Matrix multiplication, nVidia, nVidia GeForce GTX 480, nVidia GeForce GTX Titan Black, OpenCL

February 10, 2016 by hgpu

PRISM-PSY: Precise GPU-Accelerated Parameter Synthesis for Stochastic Systems

Milan Ceska, Petr Pilar, Nicola Paoletti, Lubos Brim, Marta Kwiatkowska

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Tags: Algorithms, Computer science, nVidia, nVidia GeForce GTX 480, OpenCL, Probabilistic model checking

February 6, 2016 by hgpu

Run-time support for multi-level disjoint memory address spaces

Javier Bueno Hedo

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Tags: Computer science, CUDA, MPI, nVidia, nVidia GeForce GTX 480, OmpSs, OpenMP, Thesis

December 15, 2015 by hgpu

Multi-GPU Distributed Parallel Bayesian Differential Topic Modelling

Aaron Q Li

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Tags: Algorithms, ATI, ATI Radeon HD 5870, Bayesian, Computer science, GPU cluster, Machine learning, NLP, nVidia, nVidia GeForce GTX 480, OpenCL, Thesis

October 25, 2015 by hgpu

Autotuning Wavefront Patterns for Heterogeneous Architectures

Siddharth Mohanty

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Tags: Algorithms, ATI, ATI Radeon HD 7970, Computer science, Heterogeneous systems, Machine learning, nVidia, nVidia GeForce GTX 480, nVidia GeForce GTX 580, OpenCL, Performance, Thesis

September 19, 2015 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

Understanding Latency Hiding on GPUs

Analysis and Parameter Prediction of Compiler Transformation for Graphics Processors

Runtime Specialization for Heterogeneous CPU-GPU Platforms

Architecture-Adaptive Code Variant Tuning

Analyzing and Improving the Performance of Spatial Database Processing

Parallel Approaches to Shortest-Path Problems for Multilevel Heterogeneous Computing

Gravitational wave astrophysics, data analysis and multimessenger astronomy

Performance Portable GPU Code Generation for Matrix Multiplication

PRISM-PSY: Precise GPU-Accelerated Parameter Synthesis for Stochastic Systems

Run-time support for multi-level disjoint memory address spaces

Multi-GPU Distributed Parallel Bayesian Differential Topic Modelling

Autotuning Wavefront Patterns for Heterogeneous Architectures

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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