high performance computing on graphics processing units: hgpu.org

Applications

hgpu.org » Applications » Computer science

Application-guided tool development for architecturally diverse computation

Roger D. Chamberlain, Jeremy Buhler, Mark A. Franklin, James H. Buckley

View

Tags: Algorithms, Astrophysics, Biology, Computer science, CUDA, Finance, FPGA, Heterogeneous systems, Monte Carlo simulation, nVidia, nVidia GeForce GTX 260, Search, Security

March 7, 2011 by hgpu

Non-blocking programming on multi-core graphics processors: (extended asbtract)

Phuong Hoai Ha, Philippas Tsigas, Otto J. Anshus

View

Download (PDF)

Tags: Computer science, CUDA, Memory model, nVidia, nVidia GeForce 8800 GTX, Performance, Programming techniques

March 7, 2011 by hgpu

CUDA-based AES parallelization with fine-tuned GPU memory utilization

Chonglei Mei, Hai Jiang, Jeff Jenness

Tags: Computer science, CUDA, nVidia, Security

March 7, 2011 by hgpu

Designing scalable many-core parallel algorithms for min graphs using CUDA

Quoc-Nam Tran

Tags: Algorithms, Computer science, CUDA, Graph theory, nVidia

March 7, 2011 by hgpu

Object-oriented stream programming using aspects

Mingliang Wang, M. Parashar

Tags: Computer science, CUDA, Hybrid computing, nVidia, nVidia GeForce GTX 280, Programming techniques

March 7, 2011 by hgpu

Object-oriented stream programming using Aspects: a high-productivity programming paradigm for hybrid platforms

Mingliang Wang

View

Download (PDF)

Tags: Computer science, CUDA, Hybrid computing, nVidia, nVidia GeForce GTX 280, Programming techniques, Thesis

March 7, 2011 by hgpu

Dynamically tuned push-relabel algorithm for the maximum flow problem on CPU-GPU-Hybrid platforms

Zhengyu He, Bo Hong

View

Download (PDF)

Tags: Computer science, CUDA, Graph theory, nVidia, nVidia GeForce GTX 285

March 6, 2011 by hgpu

Performance study of mapping irregular computations on GPUs

Steven Solomon, Parimala Thulasiraman

View

Download (PDF)

Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 260, Performance, Presentation

March 6, 2011 by hgpu

Study on GPU-accelerated extraction of interconnects parasitic using CUDA and MPI

Xiaoyu Xu, Guoqiang Liu, Hui Qu, Wei Xu, Yang Zhang

Tags: Computer science, CUDA, GPU cluster, MPI, nVidia, Sparse matrix

March 6, 2011 by hgpu

Tuned and asynchronous stencil kernels for CPU/GPU systems (thesis)

Sundaresan Venkatasubramanian

View

Download (PDF)

Tags: Computer science, CUDA, nVidia, nVidia Quadro FX 570, Performance, Tesla C1060, Tesla C870, Thesis

March 6, 2011 by hgpu

Speculative Execution on Multi-GPU Systems

Gregory Diamos, Sudhakar Yalamanchili

View

Download (PDF)

Tags: Computer science, CUDA, GPU cluster, nVidia, nVidia GeForce 9800 GX2, Optimization, Performance, Tesla S870

March 6, 2011 by hgpu

Automatic Generation of Multicore Chemical Kernels

John C. Linford, John Michalakes, Manish Vachharajani, Adrian Sandu

Tags: Cell processor, Chemistry, Code generation, Computer science, CUDA, nVidia, OpenMP

March 6, 2011 by hgpu

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

Applications

Application-guided tool development for architecturally diverse computation

Non-blocking programming on multi-core graphics processors: (extended asbtract)

CUDA-based AES parallelization with fine-tuned GPU memory utilization

Designing scalable many-core parallel algorithms for min graphs using CUDA

Object-oriented stream programming using aspects

Object-oriented stream programming using Aspects: a high-productivity programming paradigm for hybrid platforms

Dynamically tuned push-relabel algorithm for the maximum flow problem on CPU-GPU-Hybrid platforms

Performance study of mapping irregular computations on GPUs

Study on GPU-accelerated extraction of interconnects parasitic using CUDA and MPI

Tuned and asynchronous stencil kernels for CPU/GPU systems (thesis)

Speculative Execution on Multi-GPU Systems

Automatic Generation of Multicore Chemical Kernels

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)