high performance computing on graphics processing units: hgpu.org

hgpu.org » Optimization

Paragon: Collaborative Speculative Loop Execution on GPU and CPU

Mehrzad Samadi, Amir Hormati, Janghaeng Lee, Scott Mahlke

View

Tags: Code generation, Compilers, Computer science, CUDA, nVidia, nVidia GeForce GTX 560, Optimization, Programming techniques

March 8, 2012 by hgpu

A Fast and Efficient Simulation Framework for Modeling Heat Transport

Joshua Gordon Clark

View

Download (PDF)

Tags: CUDA, nVidia, nVidia GeForce GT 330 M, Optimization, Physics, Raytracing, Thesis, Visualization

February 29, 2012 by hgpu

An improved implementation of Preconditioned Conjugate Gradient Method on GPU

Yechen Gui, Guijuan Zhang

View

Download (PDF)

Tags: Algorithms, CUDA, Laplace and Poisson equation, nVidia, Optimization, Physics, Poisson equation, Sparse matrix

February 27, 2012 by hgpu

Reuse and Refactoring of GPU Kernels to Design Complex Applications

Santonu Sarkar, Sayantan Mitra, Ashok Srinivasan

View

Download (PDF)

Tags: Computer science, CUDA, FFT, Molecular dynamics, nVidia, nVidia GeForce GTX 480, Optimization, Software Engineering, Tesla S1050

February 24, 2012 by hgpu

A Code Optimization Framework for Performance Portability of GPU Kernels onto Custom Accelerators

Alexandros Papakonstantinou, Deming Chen, Wen-mei Hwu

View

Download (PDF)

Tags: Computer science, CUDA, FPGA, Heterogeneous systems, nVidia, Optimization

February 20, 2012 by hgpu

Performance Portability with the Chapel Language

Albert Sidelnik, Saeed Maleki, Bradford L. Chamberlain, Maria J. Garzaran, David Padua

View

Download (PDF)

Tags: Computer science, CUDA, High-level Languages, nVidia, nVidia GeForce GTX 280, Optimization

February 18, 2012 by hgpu

Skeleton-based Automatic Parallelization of Image Processing Algorithms for GPUs

Cedric Nugteren, Henk Corporaal, Bart Mesman

View

Download (PDF)

Tags: Algorithms, Code generation, CUDA, Image processing, nVidia, nVidia GeForce GTX 470, Optimization

February 17, 2012 by hgpu

Comparing Many-Core Accelerator Frameworks

G. Haase, A. Kucher

View

Download (PDF)

Tags: Code generation, Computer science, CUDA, nVidia, nVidia GeForce GTX 580, OpenCL, Optimization

February 15, 2012 by hgpu

Accurate real-time stereo correspondence using intra- and inter-scanline optimization

Li Yao, Dong-xiao Li, Jing Zhang, Liang-hao Wang, Ming Zhang

View

Download (PDF)

Tags: Algorithms, CUDA, Image processing, nVidia, nVidia Quadro FX 4800, Optimization, Stereo vision

February 15, 2012 by hgpu

A Scalable GPU-based Approach to Accelerate the Multiple-Choice Knapsack Problem

Bharath Suri, Unmesh D. Bordoloi, Petru Eles

View

Download (PDF)

Tags: Computer science, CUDA, nVidia, Optimization, Tesla M2050

February 13, 2012 by hgpu

FPGA accelerated 3D reconstruction using compressive sensing

Jianwen Chen, Jason Cong, Ming Yan, Yi Zou

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, FPGA, Medicine, nVidia, nVidia GeForce GTX 480, Optimization, Tesla C1060, Tomography

February 12, 2012 by hgpu

SPIRE, a Sequential to Parallel Intermediate Representation Extension

Dounia Khaldi, Pierre Jouvelot, Corinne Ancourt, Francois Irigoin

View

Download (PDF)

Tags: Compilers, Computer science, OpenCL, Optimization

February 11, 2012 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

Paragon: Collaborative Speculative Loop Execution on GPU and CPU

A Fast and Efficient Simulation Framework for Modeling Heat Transport

An improved implementation of Preconditioned Conjugate Gradient Method on GPU

Reuse and Refactoring of GPU Kernels to Design Complex Applications

A Code Optimization Framework for Performance Portability of GPU Kernels onto Custom Accelerators

Performance Portability with the Chapel Language

Skeleton-based Automatic Parallelization of Image Processing Algorithms for GPUs

Comparing Many-Core Accelerator Frameworks

Accurate real-time stereo correspondence using intra- and inter-scanline optimization

A Scalable GPU-based Approach to Accelerate the Multiple-Choice Knapsack Problem

FPGA accelerated 3D reconstruction using compressive sensing

SPIRE, a Sequential to Parallel Intermediate Representation Extension

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)