OpenCL | Page 50 | hgpu.org

hgpu.org » OpenCL

Simulating the Cardinal Movements of Childbirth Using Finite Element Analysis on the Graphics Processing Unit

Zelimkhan Gerikhanov

View

Download (PDF)

Tags: AMD Radeon HD 8970 M, ATI, Biology, Biomechanics, FEM, Finite element method, Medicine, MRI, OpenCL, Thesis

August 17, 2017 by hgpu

Accelerating digital forensic searching through GPGPU parallel processing techniques

Ethan Bayne

View

Download (PDF)

Tags: Computer science, nVidia, nVidia GeForce GTX 750 Ti, nVidia GeForce GTX 970 M, nVidia GeForce GTX 980, nVidia GeForce GTX 980 Ti, OpenCL, Thesis

August 14, 2017 by xhgpu

Directive-Based Partitioning and Pipelining for Graphical Processing Units

X. Cui, T. R. W. Scogland, B. R. de Supinski, W. Feng

View

Download (PDF)

Tags: ATI, ATI Radeon HD 7970, Computer science, CUDA, nVidia, OpenACC, OpenCL, OpenMP, Performance, Task scheduling, Tesla K40

August 1, 2017 by hgpu

On Simplifying and Optimizing Programs for Heterogeneous Computing Systems

Ivan Grasso

View

Download (PDF)

Tags: AMD FirePro S9000, ATI, ATI Radeon HD 5870, Compilers, Computer science, Heterogeneous systems, Intel Xeon Phi, nVidia, nVidia GeForce GTX 480, OpenCL, Performance, Tesla K20, Thesis

July 25, 2017 by hgpu

FUX-Sim: Implementation of a fast universal simulation/reconstruction framework for X-ray systems

Monica Abella, Estefania Serrano, Javier Garcia-Blas, Ines Garcia, Claudia de Molina, Jesus Carretero, Manuel Desco

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, Image reconstruction, nVidia, OpenCL, Tesla K40

July 25, 2017 by hgpu

ParTeCL: parallel testing using OpenCL

Vanya Yaneva, Ajitha Rajan, Christophe Dubach

View

Download (PDF)

Source codes

Tags: Benchmarking, Compilers, Computer science, OpenCL, Package

July 25, 2017 by hgpu

OpenCL Library for Parallel Graph Search Algorithms

Christian Fischer

View

Download (PDF)

Tags: Algorithms, ATI, ATI Radeon HD 7970, Computer science, OpenCL, Path problems, Thesis

July 25, 2017 by hgpu

A Comparison of Support Vector Machines Training GPU-Accelerated Open Source Implementations

Jan Vanek, Josef Michalek, Josef Psutka

View

Download (PDF)

Source codes

Tags: Benchmarking, Computer science, CUDA, Machine learning, nVidia, nVidia GeForce GTX 1080, OpenCL, Package

July 22, 2017 by hgpu

GPU accelerated computation of Polarized Subsurface BRDF for Flat Particulate Layers

Charly Collin, Sumanta Pattanaik

View

Download (PDF)

Tags: Computer science, Differential equations, Graphics, nVidia, nVidia GeForce GTX 580, OpenCL, Rendering

July 22, 2017 by hgpu

Termination Analysis for GPU Kernels

Jeroen Ketema, Alastair F. Donaldson

View

Download (PDF)

Source codes

Tags: Computer science, CUDA, LLVM, OpenCL, Package

July 19, 2017 by hgpu

Fine-Grain Acceleration of Graph Algorithms on a Heterogeneous Chip

Cagri Eryilmaz

View

Download (PDF)

Tags: Algorithms, APU, Computer science, Graph theory, Heterogeneous systems, OpenCL, Thesis

July 19, 2017 by hgpu

Cooperative Kernels: GPU Multitasking for Blocking Algorithms

Tyler Sorensen, Hugues Evrard, Alastair F. Donaldson

View

Download (PDF)

Tags: Algorithms, Computer science, OpenCL, Performance, Programming Languages

July 14, 2017 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

Simulating the Cardinal Movements of Childbirth Using Finite Element Analysis on the Graphics Processing Unit

Accelerating digital forensic searching through GPGPU parallel processing techniques

Directive-Based Partitioning and Pipelining for Graphical Processing Units

On Simplifying and Optimizing Programs for Heterogeneous Computing Systems

FUX-Sim: Implementation of a fast universal simulation/reconstruction framework for X-ray systems

ParTeCL: parallel testing using OpenCL

OpenCL Library for Parallel Graph Search Algorithms

A Comparison of Support Vector Machines Training GPU-Accelerated Open Source Implementations

GPU accelerated computation of Polarized Subsurface BRDF for Flat Particulate Layers

Termination Analysis for GPU Kernels

Fine-Grain Acceleration of Graph Algorithms on a Heterogeneous Chip

Cooperative Kernels: GPU Multitasking for Blocking Algorithms

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)