high performance computing on graphics processing units: hgpu.org

hgpu.org » Tesla C1060

Automatic Parallelization of Tiled Loop Nests with Enhanced Fine-Grained Parallelism on GPUs

Peng Di, Ding Ye, Yu Su, Yulei Sui, Jingling Xue

View

Download (PDF)

Tags: Computer science, CUDA, nVidia, Performance, Tesla C1060, Tesla C2050

October 13, 2012 by hgpu

Performance Analysis of an Ultrasound Reconstruction Algorithm for Non Destructive Testing

Antoine Pedron, Lionel Lacassagne, Victor Barbillon, Franck Bimbard, Gilles Rougeron, Stephane Le Berre

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 580, OpenCL, Tesla C1060, Tesla C2070, Ultrasound

October 3, 2012 by hgpu

CUDA-Zero: a framework for porting shared memory GPU applications to multi-GPUs

Chen DeHao, Chen WenGuang, Zheng WeiMin

View

Download (PDF)

Tags: Computer science, CUDA, Memory model, nVidia, Tesla C1060

September 30, 2012 by hgpu

Nonperturbative Quantum Field Theory in Astrophysics

Daniel Paul Mazur

View

Download (PDF)

Tags: Astrophysics, CUDA, Gravitation, High Energy Astrophysical Phenomena, nVidia, Physics, Tesla C1060, Thesis

September 30, 2012 by hgpu

Task Performance with List-Mode Data

Luca Caucci

View

Download (PDF)

Tags: Algorithms, Computer science, Data acquisition, Image reconstruction, Medicine, nVidia, nVidia GeForce 9800 GX2, nVidia GeForce GTX 295, Tesla C1060, Tesla C2050, Thesis, Tomography

September 23, 2012 by hgpu

Fast and Efficient Automatic Memory Management for GPUs using Compiler-Assisted Runtime Coherence Scheme

Sreepathi Pai, R. Govindarajan, Matthew J. Thazhuthaveetil

View

Download (PDF)

Tags: Computer science, CUDA, Memory model, nVidia, Performance, Tesla C1060

September 21, 2012 by hgpu

Accelerating Sparse Matrix Kernels on Graphics Processing Units

Kiran Kumar Matam

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, Matrix multiplication, nVidia, Sparse matrix, Tesla C1060, Tesla C2050, Thesis

September 14, 2012 by hgpu

Hotspot Analysis Based Partial CUDA Acceleration of HMMER 3.0 on GPGPUs

Fahian Ahmed, Saddam Quirem, Gak Min, Byeong Kil Lee

View

Download (PDF)

Tags: Bioinformatics, Biology, CUDA, nVidia, nVidia GeForce GTX 460, Tesla C1060

September 12, 2012 by hgpu

Mapping a Dataflow Programming Model onto Heterogeneous Architectures

Alina Sbirlea

View

Download (PDF)

Tags: Code generation, Computer science, CUDA, Heterogeneous systems, nVidia, nVidia Quadro FX 580, Tesla C1060, Thesis

September 12, 2012 by hgpu

High Performance Parallel Implementation of Compressive Sensing SAR Imaging

Jihua Tian, Jinping Sun, Yuxi Zhang, Najeeb Ahmad

View

Download (PDF)

Tags: CUDA, Image processing, nVidia, Sensing, Tesla C1060

September 7, 2012 by hgpu

GPU-accelerated Fourier-continuation solvers and physically exact computational boundary conditions for wave scattering problems

Timothy James Elling

View

Download (PDF)

Tags: Algorithms, CUDA, Finite difference, Integral equations, nVidia, Physics, Tesla C1060, Thesis

September 5, 2012 by hgpu

Accelerated Flow Visualization of Advective-Diffusive Mixing Processes Using GPUs

Alejandro Aguilar Sierra, Luis M. de la Cruz Salas

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, nVidia, nVidia Quadro FX 3800 M, OpenGL, Tesla C1060, Visualization

September 3, 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

Automatic Parallelization of Tiled Loop Nests with Enhanced Fine-Grained Parallelism on GPUs

Performance Analysis of an Ultrasound Reconstruction Algorithm for Non Destructive Testing

CUDA-Zero: a framework for porting shared memory GPU applications to multi-GPUs

Nonperturbative Quantum Field Theory in Astrophysics

Task Performance with List-Mode Data

Fast and Efficient Automatic Memory Management for GPUs using Compiler-Assisted Runtime Coherence Scheme

Accelerating Sparse Matrix Kernels on Graphics Processing Units

Hotspot Analysis Based Partial CUDA Acceleration of HMMER 3.0 on GPGPUs

Mapping a Dataflow Programming Model onto Heterogeneous Architectures

High Performance Parallel Implementation of Compressive Sensing SAR Imaging

GPU-accelerated Fourier-continuation solvers and physically exact computational boundary conditions for wave scattering problems

Accelerated Flow Visualization of Advective-Diffusive Mixing Processes Using GPUs

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)