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Streaming Dynamic Coarse-Grained CPU/GPU Workloads with Heterogeneous Pipelines in FastFlow

Mehdi Goli, Michael T. Garba, Horacio Gonzalez-Velez

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Tags: Computer science, CUDA, Heterogeneous systems, Linear Algebra, nVidia, Tesla M2090

October 22, 2012 by hgpu

A Novel Learning Algorithm for Bayesian Network and Its Efficient Implementation on GPU

Yu Wang, Weikang Qian, Shuchang Zhang, Bo Yuan

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Tags: Algorithms, Bayesian, Computational Complexity, Computer science, CUDA, nVidia, Tesla M2090

October 19, 2012 by hgpu

High-throughput Execution of Hierarchical Analysis Pipelines on Hybrid Cluster Platforms

George Teodoro, Tony Pan, Tahsin M. Kurc, Jun Kong, Lee A. D. Cooper, Joel H. Saltz

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Tags: Computer science, CUDA, nVidia, Optimization, Prefetch, Task scheduling, Tesla M2090

September 18, 2012 by hgpu

Efficient Irregular Wavefront Propagation Algorithms on Hybrid CPU-GPU Machines

George Teodoro, Tony Pan, Tahsin Kurc, Jun Kong, Lee Cooper, Joel Saltz

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Tags: Algorithms, Computer science, CUDA, Distance transform, Heterogeneous systems, Image processing, nVidia, Tesla M2090

September 18, 2012 by hgpu

Approaches for the Parallelization of Software Implementation of Integer Multiplication

Vladislav Kovtun, Andrew Okhrimenko

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Tags: Algorithms, AMD FireStream 9370, ATI, Computational Complexity, Computer science, nVidia, OpenCL, OpenMP, Security, Tesla M2090

August 22, 2012 by hgpu

A Second-Order Distributed Trotter-Suzuki Solver with a Hybrid Kernel

Peter Wittek, Fernando M. Cucchietti

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Source codes

Tags: Computational Physics, CUDA, MPI, nVidia, Package, Physics, Quantum Physics, Tesla M2090

August 14, 2012 by hgpu

A Generic Library for Stencil Computations

Mauro Bianco, Ugo Varetto

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Tags: Algorithms, Computer science, CUDA, Heterogeneous systems, Mathematical Software, MPI, nVidia, PC cluster, Performance, Tesla M2090

July 10, 2012 by hgpu

A hybrid Hermitian general eigenvalue solver

Raffaele Solca, Thomas C. Schulthess, Azzam Haidar, Stanimire Tomov, Ichitaro Yamazaki, Jack Dongarra

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Tags: Chemistry, Computer science, CUDA, Materials Science, Numerical Analysis, nVidia, Tesla M2090

July 10, 2012 by hgpu

Navigating An Evolutionary Fast Path to Exascale – Expanded Version

R.F. Barrett, S.D. Hammond, C.T. Vaughan, D.W. Doerfler, M.A. Heroux

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, Tesla M2090

July 5, 2012 by hgpu

Large, Pruned or Continuous Space Language Models on a GPU for Statistical Machine Translation

Holger Schwenk, Anthony Rousseau, Mohammed Attik

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Tags: Computational Complexity, Computer science, CUDA, nVidia, nVidia GeForce GTX 580, Package, Speech recognition, Tesla M2090

June 11, 2012 by hgpu

Astrophysical Particle Simulations on Heterogeneous CPU-GPU Systems

Naohito Nakasato, Go Ogiya, Yohei Miki, Masao Mori, Ken'ichi Nomoto

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Tags: Algorithms, Astrophysics, ATI, ATI Radeon HD 6530, ATI Radeon HD 7970, Computational Physics, Heterogeneous systems, Instrumentation and Methods for Astrophysics, N-body simulation, nVidia, OpenCL, Particle simulation, PC cluster, Tesla M2090

June 8, 2012 by hgpu

Pipelining the Fast Multipole Method over a Runtime System

Emmanuel Agullo, Beranger Bramas, Olivier Coulaud, Eric Darve, Matthias Messner, Takahashi Toru

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Tags: Algorithms, Computer science, Fast multipole method, Heterogeneous systems, nVidia, Physics, Tesla M2070, Tesla M2090

June 4, 2012 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

Streaming Dynamic Coarse-Grained CPU/GPU Workloads with Heterogeneous Pipelines in FastFlow

A Novel Learning Algorithm for Bayesian Network and Its Efficient Implementation on GPU

High-throughput Execution of Hierarchical Analysis Pipelines on Hybrid Cluster Platforms

Efficient Irregular Wavefront Propagation Algorithms on Hybrid CPU-GPU Machines

Approaches for the Parallelization of Software Implementation of Integer Multiplication

A Second-Order Distributed Trotter-Suzuki Solver with a Hybrid Kernel

A Generic Library for Stencil Computations

A hybrid Hermitian general eigenvalue solver

Navigating An Evolutionary Fast Path to Exascale – Expanded Version

Large, Pruned or Continuous Space Language Models on a GPU for Statistical Machine Translation

Astrophysical Particle Simulations on Heterogeneous CPU-GPU Systems

Pipelining the Fast Multipole Method over a Runtime System

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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