high performance computing on graphics processing units: hgpu.org

hgpu.org » Parallelization

Vectorization of Hybrid Breadth First Search on the Intel Xeon Phi

Mireya Paredes, Graham Riley, Mikel Lujan

View

Download (PDF)

Tags: Algorithms, Computer science, Intel Xeon Phi, OpenMP, Parallelization

April 11, 2017 by hgpu

Sequential Code Parallelization for Multi-core Embedded Systems: A Survey of Models, Algorithms and Tools

Jorge Alberto Castro Godinez

View

Download (PDF)

Tags: Computer science, Parallelization, Review, Thesis

October 22, 2015 by hgpu

A Study of Successive Over-relaxation Method Parallelization Over Modern HPC Languages

Sparsh Mittal

View

Download (PDF)

Tags: cpu, multithreading, parallel computing, Parallel programming, Parallelization

November 20, 2014 by sparsh0mittal

Native Offload of Haskell Repa Programs to GPGPU

H. Liu, L.E. Day, N. Glew, T.A. Anderson, R. Barik

View

Download (PDF)

Tags: Heterogeneous systems, Intel HD 4600, OpenCL, Parallelization, Programming techniques

June 8, 2014 by hgpu

Hardware/Software Vectorization for Closeness Centrality on Multi-/Many-Core Architectures

A.E. Sarıyuce, E. Saule, K. Kaya, U.V. Çatalyurek

View

Download (PDF)

Tags: Algorithms, Graph theory, Intel Xeon Phi, Parallelization

March 29, 2014 by hgpu

Acceleration of iterative Navier-Stokes solvers on graphics processing units

Tomczak, T., Zadarnowska, K., Koza, Z., Matyka, M., Miroslaw, L.

View

Download (PDF)

Tags: CUDA, Finite volume method, Fluid dynamics, GPU, hardware acceleration, incompressible flow, Navier-Stokes solvers, OpenFOAM, operator splitting, Parallelization, PISO, SIMPLE

September 9, 2013 by Vratis

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

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

Optical flow algorithms for SYCL

SYCL in the edge: performance and energy evaluation for heterogeneous acceleration

OpenMP5-Offload-OpenMC-Intel-PVC

Distributed OpenMP Offloading of OpenMC on Intel GPU MAX Accelerators

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

Vectorization of Hybrid Breadth First Search on the Intel Xeon Phi

Sequential Code Parallelization for Multi-core Embedded Systems: A Survey of Models, Algorithms and Tools

A Study of Successive Over-relaxation Method Parallelization Over Modern HPC Languages

Native Offload of Haskell Repa Programs to GPGPU

Hardware/Software Vectorization for Closeness Centrality on Multi-/Many-Core Architectures

Acceleration of iterative Navier-Stokes solvers on graphics processing units

Recent source codes

QArray

Celerity: High-level C++ for Accelerator Clusters

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

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

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

Optical flow algorithms for SYCL

OpenMP5-Offload-OpenMC-Intel-PVC

Most viewed papers (last 30 days)