high performance computing on graphics processing units: hgpu.org

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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

Finite Element Numerical Integration on Xeon Phi coprocessor

Filip Kruzel, Krzysztof Banas

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Tags: Algorithms, Computer science, Intel Xeon Phi, nVidia, OpenCL, Tesla K20

October 31, 2014 by hgpu

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

SimSYCL: A SYCL Implementation Targeting Development, Debugging, Simulation and Conformance

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

gpu_tracker: Python package for tracking and profiling GPU utilization in both desktop and high-performance computing environments

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

94% on CIFAR-10 in 3.29 Seconds on a Single GPU

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

LOOPer: A Learned Automatic Code Optimizer For Polyhedral Compilers

OpenMC Monte Carlo Code

Performance Portable Monte Carlo Particle Transport on Intel, NVIDIA, and AMD GPUs

Polygeist: C/C++ frontend for MLIR

Retargeting and Respecializing GPU Workloads for Performance Portability

Parallel Gaussian process with kernel approximation in CUDA

See all packages

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high performance computing on graphics processing units: hgpu.org

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

Finite Element Numerical Integration on Xeon Phi coprocessor

Recent source codes

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

GPU plugin for PySCF

QArray

Celerity: High-level C++ for Accelerator Clusters

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

OpenMC Monte Carlo Code

Polygeist: C/C++ frontend for MLIR

Parallel Gaussian process with kernel approximation in CUDA

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