high performance computing on graphics processing units: hgpu.org

hgpu.org » Tesla K20

24.77 Pflops on a Gravitational Tree-Code to Simulate the Milky Way Galaxy with 18600 GPUs

Jeroen Bedorf, Evghenii Gaburov, Michiko S. Fujii, Keigo Nitadori, Tomoaki Ishiyama, Simon Portegies Zwart

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Tags: Algorithms, Astrophysics, CUDA, GPU cluster, Gravitation, Instrumentation and Methods for Astrophysics, nVidia, Tesla K20

December 3, 2014 by hgpu

Performance Analysis of a High-level Abstractions-based Hydrocode on Future Computing Systems

G.R. Mudalige, I.Z. Reguly, M.B. Giles, A.C. Mallinson, W.P. Gaudin, J.A. Herdman

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Tags: Code generation, Computer science, CUDA, GPU cluster, MPI, nVidia, OpenACC, OpenCL, Tesla K20

December 1, 2014 by hgpu

A CUDA implementation of the High Performance Conjugate Gradient benchmark

Everett Phillips, Massimiliano Fatica

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Tags: Algorithms, Benchmarking, Computer science, CUDA, Differential equations, nVidia, Partial differential equations, PDEs, Tesla K20

November 29, 2014 by hgpu

Improving GPU Performance by Regrouping CPU-Memory Data

Deepthi Gummadi

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Tags: ARM, Computer science, CUDA, nVidia, Performance, Tesla C2075, Tesla K20, Thesis

November 25, 2014 by hgpu

Automatic Performance Tuning of Pipeline Patterns for Heterogeneous Parallel Architectures

E. Bajrovic, S. Benkner

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Tags: Computer science, Heterogeneous systems, nVidia, OpenCL, OpenCV, Performance, Tesla C2050, Tesla K20

November 20, 2014 by hgpu

Conjugate gradient solvers on Intel Xeon Phi and NVIDIA GPUs

O. Kaczmarek, C. Schmidt, P. Steinbrecher, M. Wagner

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Tags: Computational Physics, Conjugate gradient solver, CUDA, High Energy Physics - Lattice, Intel Xeon Phi, Mathematical Software, nVidia, Physics, Tesla K20, Tesla K40

November 18, 2014 by hgpu

Locality-Aware Mapping of Nested Parallel Patterns on GPUs

HyoukJoong Lee, Kevin J. Brown, Arvind K. Sujeeth, Tiark Rompf, Kunle Olukotun

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Tags: Code generation, Computer science, CUDA, nVidia, Performance, Tesla K20

November 12, 2014 by hgpu

Accelerated Runtime Verification of LTL Specifications with Counting Semantics

Ramy Medhat, Yogi Joshi, Borzoo Bonakdarpour, Sebastian Fischmeister

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Tags: Algorithms, Computer science, CUDA, Logic in Computer Science, MapReduce, nVidia, Tesla K20, Thrust

November 12, 2014 by hgpu

Relax-Miracle: GPU Parallelization of Semi-Analytic Fourier-Domain solvers for Earthquake Modeling

Sagar Shrishailappa Masuti, Sylvain Barbot, Nachiket Kapre

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Tags: Bayesian, CUDA, Earth and Space Sciences, FFT, Geoscience, nVidia, Tesla K20

November 9, 2014 by hgpu

GPU Acceleration of k-Nearest Neighbor Search in Face Classifier based on Eigenfaces

Jennifer Dawn Rouan

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Tags: Computer science, Computer vision, CUDA, Nearest neighbour, nVidia, Security, Tesla K20, Thesis

November 5, 2014 by hgpu

Profiling of Data-Parallel Processors

Daniel Kruck, Holger Froening

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

November 3, 2014 by hgpu

Bounds on the Energy Consumption of Computational Kernels

Andrew Gearhart

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Source codes

Tags: Computer science, CUDA, Energy-efficient computing, Heterogeneous systems, nVidia, Package, Tesla K20, Thesis

November 3, 2014 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

24.77 Pflops on a Gravitational Tree-Code to Simulate the Milky Way Galaxy with 18600 GPUs

Performance Analysis of a High-level Abstractions-based Hydrocode on Future Computing Systems

A CUDA implementation of the High Performance Conjugate Gradient benchmark

Improving GPU Performance by Regrouping CPU-Memory Data

Automatic Performance Tuning of Pipeline Patterns for Heterogeneous Parallel Architectures

Conjugate gradient solvers on Intel Xeon Phi and NVIDIA GPUs

Locality-Aware Mapping of Nested Parallel Patterns on GPUs

Accelerated Runtime Verification of LTL Specifications with Counting Semantics

Relax-Miracle: GPU Parallelization of Semi-Analytic Fourier-Domain solvers for Earthquake Modeling

GPU Acceleration of k-Nearest Neighbor Search in Face Classifier based on Eigenfaces

Profiling of Data-Parallel Processors

Bounds on the Energy Consumption of Computational Kernels

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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