high performance computing on graphics processing units: hgpu.org

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GPU Accelerated Radio Wave Propagation Modeling Using Ray Tracing

Alaettin Zubaroglu

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Tags: CUDA, nVidia, Raytracing, Signal processing, Tesla C2075, Tesla K20, Thesis

October 4, 2014 by hgpu

Stable large-scale solver for Ginzburg-Landau equations for superconductors

I. A. Sadovskyy, A. E. Koshelev, C. L. Phillips, D. A. Karpeev, A. Glatz

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Tags: Algorithms, Condensed matter, CUDA, Numerical simulation, nVidia, Tesla K20

October 3, 2014 by hgpu

A fast GPU-based Monte Carlo simulation of proton transport with detailed modeling of non-elastic interactions

H. Wan Chan Tseung, J. Ma, C. Beltran

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Tags: CUDA, Medical Physics, Monte Carlo simulation, nVidia, nVidia GeForce GTX 680, Physics, Tesla K20

October 3, 2014 by hgpu

A stencil-based implementation of Parareal in the C++ domain specific embedded language STELLA

Andrea Arteaga, Daniel Ruprecht, Rolf Krause

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

October 3, 2014 by hgpu

Enabling Efficient Use of MPI and PGAS Programming Models on Heterogeneous Clusters with High Performance Interconnects

Sreeram Potluri

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Tags: Computer science, CUDA, Heterogeneous systems, Intel Xeon Phi, MPI, nVidia, OpenCL, Tesla, Tesla C2075, Tesla K20, Tesla M2090

September 29, 2014 by hgpu

NAS Parallel Benchmarks for GPGPUs using a Directive-based Programming Model

Rengan Xu, Xiaonan Tian, Sunita Chandrasekaran, Yonghong Yan, Barbara Chapman

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Tags: Benchmarking, Computer science, CUDA, MPI, nVidia, OpenACC, Tesla K20

September 28, 2014 by hgpu

Accelerating Phylogenetic Inference on GPUs: an OpenACC and CUDA comparison

Lidia Kuan, Joao Neves, Frederico Pratas, Pedro Tomas, Leonel Sousa

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 580, OpenACC, Performance, Tesla K20

September 28, 2014 by hgpu

Calculation of Force Field Grids for Molecular Docking Using Graphics Processing Unit

Mikhail A. Farkov

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Tags: Algorithms, Bioinformatics, Biology, CUDA, molecular docking, nVidia, nVidia GeForce GT 440, Tesla K20, Tesla M2090

September 24, 2014 by hgpu

Explicit Integration with GPU Acceleration for Large Kinetic Networks

Benjamin Brock, Andrew Belt, Jay Jay Billings, Mike Guidry

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Tags: Algorithms, Computational Physics, CUDA, nVidia, Physics, Solar and Stellar Astrophysics, Tesla K20

September 23, 2014 by hgpu

Computational Gravitational Dynamics with Modern Numerical Accelerators

Simon Portegies Zwart, Jeroen Bedorf

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Tags: Algorithms, Astrophysics, CUDA, Gravitation, Instrumentation and Methods for Astrophysics, N-body simulation, nVidia, Stellar dynamics, Tesla K20

September 23, 2014 by hgpu

On the evaluation of matrix polynomials using several GPGPUs

Pedro Alonso, Murilo Boratto, J. Peinado, J. Ibanez, Jorge Sastre

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Tags: Algorithms, Computer science, CUBLAS, CUDA, Heterogeneous systems, nVidia, Tesla K20, Thesis

September 20, 2014 by hgpu

Parallel Computation of Non-Bonded Interactions in Drug Discovery: Nvidia GPUs vs. Intel Xeon Phi

Jianbin Fang, Ana Lucia Varbanescu, Baldomero Imbernon, Jose M. Cecilia, Horacio Perez-Sanchez

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Tags: Bioinformatics, Biology, CUDA, Electrostatics, Intel Xeon Phi, nVidia, Performance, Pharmaceuticals, Tesla K20

September 13, 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

GPU Accelerated Radio Wave Propagation Modeling Using Ray Tracing

Stable large-scale solver for Ginzburg-Landau equations for superconductors

A fast GPU-based Monte Carlo simulation of proton transport with detailed modeling of non-elastic interactions

A stencil-based implementation of Parareal in the C++ domain specific embedded language STELLA

Enabling Efficient Use of MPI and PGAS Programming Models on Heterogeneous Clusters with High Performance Interconnects

NAS Parallel Benchmarks for GPGPUs using a Directive-based Programming Model

Accelerating Phylogenetic Inference on GPUs: an OpenACC and CUDA comparison

Calculation of Force Field Grids for Molecular Docking Using Graphics Processing Unit

Explicit Integration with GPU Acceleration for Large Kinetic Networks

Computational Gravitational Dynamics with Modern Numerical Accelerators

On the evaluation of matrix polynomials using several GPGPUs

Parallel Computation of Non-Bonded Interactions in Drug Discovery: Nvidia GPUs vs. Intel Xeon Phi

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

Most viewed papers (last 30 days)