high performance computing on graphics processing units: hgpu.org

hgpu.org » Stencil computation

A Strategy for Automatic Performance Tuning of Stencil Computations on GPUs

Joseph D. Garvey, Tarek S. Abdelrahman

View

Tags: AMD Radeon R9 390, ATI, Computer science, Machine learning, nVidia, nVidia GeForce GTX Titan, OpenCL, Performance, Stencil computation

April 28, 2018 by hgpu

Automatic Optimization of OpenCL-Based Stencil Codes for FPGAs and Its Evaluation

Tsukasa Endo, Hasitha Muthumala Waidyasooriya, Masanori Hariyama

View

Download (PDF)

Tags: Computer science, FPGA, OpenCL, Performance, Stencil computation

April 15, 2018 by hgpu

Combined Spatial and Temporal Blocking for High-Performance Stencil Computation on FPGAs Using OpenCL

Hamid Reza Zohouri, Artur Podobas, Satoshi Matsuoka

View

Download (PDF)

Tags: Computer science, FPGA, OpenCL, Stencil computation

February 9, 2018 by hgpu

Improving 3D Lattice Boltzmann Method stencil with asynchronous transfers on many-core processors

Minh Quan Ho, Christian Obrecht, Bernard Tourancheau, Benoit Dupont de Dinechin, Julien Hascoet

View

Download (PDF)

Tags: cfd, Fluid dynamics, Lattice Boltzmann model, OpenCL, Stencil computation

December 19, 2017 by hgpu

Beyond 16GB: Out-of-Core Stencil Computations

Istvan Z. Reguly, Gihan R. Mudalige, Michael B. Giles

View

Download (PDF)

Tags: Computer science, CUDA, Intel Xeon Phi, MPI, nVidia, Stencil computation, Tesla P100

September 9, 2017 by hgpu

Snowflake: A Lightweight Portable Stencil DSL

Nathan Zhang, Michael Driscoll, Armando Fox, Charles Markley, Samuel Williams, Protonu Basu

View

Download (PDF)

Source codes

Tags: Code generation, Computer science, DSL, nVidia, OpenCL, Package, Python, Stencil computation, Tesla K20

July 2, 2017 by hgpu

Tuning Stencil Codes in OpenCL for FPGAs

Qi Jia, Huiyang Zhou

View

Download (PDF)

Source codes

Tags: Computer science, FPGA, Heterogeneous systems, OpenCL, Package, Stencil computation

September 22, 2016 by hgpu

A parallel pattern for iterative stencil + reduce

M. Aldinucci, M. Danelutto, M. Drocco, P. Kilpatrick, C. Misale, G. Peretti Pezzi, M. Torquati

View

Download (PDF)

Tags: ARM, Computer science, nVidia, OpenCL, Stencil computation, Tesla K40, Tesla M2090

September 17, 2016 by hgpu

A Performance Model and Optimization Strategies for Automatic GPU Code Generation of PDE Systems Described by a Domain-Specific Language

Yue Hu

View

Download (PDF)

Source codes

Tags: Code generation, Computer science, CUDA, DSL, Fluid dynamics, Intel Xeon Phi, nVidia, OpenCL, Package, PDEs, PTX, Stencil computation, Tesla K20, Thesis

August 31, 2016 by hgpu

MODESTO: Data-centric Analytic Optimization of Complex Stencil Programs on Heterogeneous Architectures

Tobias Gysi, Tobias Grosser, Torsten Hoefler

View

Download (PDF)

Source codes

Tags: Analytical model, CUDA, nVidia, Optimization, Package, Stencil computation, Tesla K20

June 3, 2016 by gysit

A Stencil DSEL for Single Code Accelerated Computing with SYCL

Olivier Aumage, Denis Barthou, Alexandre Honorat

View

Download (PDF)

Tags: Computer science, OpenCL, Stencil computation, SYCL

March 29, 2016 by hgpu

Automatic Performance Tuning of Stencil Computations on Graphics Processing Units

Joseph D. Garvey

View

Download (PDF)

Tags: Computer science, Machine learning, nVidia, nVidia GeForce GTX Titan, OpenCL, Performance, Stencil computation, Thesis

January 4, 2016 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

* * *

high performance computing on graphics processing units: hgpu.org

A Strategy for Automatic Performance Tuning of Stencil Computations on GPUs

Automatic Optimization of OpenCL-Based Stencil Codes for FPGAs and Its Evaluation

Combined Spatial and Temporal Blocking for High-Performance Stencil Computation on FPGAs Using OpenCL

Improving 3D Lattice Boltzmann Method stencil with asynchronous transfers on many-core processors

Beyond 16GB: Out-of-Core Stencil Computations

Snowflake: A Lightweight Portable Stencil DSL

Tuning Stencil Codes in OpenCL for FPGAs

A parallel pattern for iterative stencil + reduce

A Performance Model and Optimization Strategies for Automatic GPU Code Generation of PDE Systems Described by a Domain-Specific Language

MODESTO: Data-centric Analytic Optimization of Complex Stencil Programs on Heterogeneous Architectures

A Stencil DSEL for Single Code Accelerated Computing with SYCL

Automatic Performance Tuning of Stencil Computations on Graphics Processing Units

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)