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Unleashing the Power of Distributed CPU/GPU Architectures: Massive Astronomical Data Analysis and Visualization case study

Amr H. Hassan, C. J. Fluke, D. G. Barnes

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Tags: Astrophysics, CUDA, GPU cluster, Instrumentation and Methods for Astrophysics, nVidia, Tesla C1060, Tesla C2050, Visualization

November 30, 2011 by hgpu

GPU-Accelerated SPH Model for Water Waves and Other Free Surface Flows

Robert Anthony Dalrymple, Alexis Herault, Giuseppe Bilotta, Rozita Jalali Farahani

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Tags: CUDA, Fluid dynamics, nVidia, OpenGL, Package, Visualization

November 30, 2011 by hgpu

Multiresolution Flow Simulations on Multi/many-core Architectures

Diego Rossinelli

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Tags: Algorithms, Computational Complexity, CUDA, Differential equations, Fluid dynamics, Heterogeneous systems, nVidia, Partial differential equations, PDEs, Tesla S1070, Tesla T10, Thesis, Wavelet

November 29, 2011 by hgpu

Applications Performance on GPGPUs with the Fermi Architecture

Ahmed Mohamed Hassan Abdalla

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Tags: Benchmarking, Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce 8400 GS, Performance, Tesla C2050, Tesla M1060, Thesis

November 29, 2011 by hgpu

Dynamic Task Parallelism with a GPU Work-Stealing Runtime System

Sanjay Chatterjee, Max Grossman, Alina Sbirlea, Vivek Sarkar

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Tags: Computer science, CUDA, Data parallelism, nVidia, Task scheduling, Tesla C2050

November 29, 2011 by hgpu

Directives Based Programming of GPU Accelerated Systems

Saif Mulla

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Tags: Computer science, CUDA, Molecular dynamics, nVidia, Programming techniques, Tesla C2050, Thesis

November 29, 2011 by hgpu

Enabling Efficient Online Profiling of Homogeneous and Heterogeneous Multicore Systems

Dan Upton

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, OpenCL, Tesla C2050, Thesis

November 29, 2011 by hgpu

Solving Dense Generalized Eigenproblems on Multi-threaded Architectures

Jose I. Aliaga, Paolo Bientinesi, Davor Davidovic, Edoardo Di Napoli, Francisco D. Igual, Enrique S. Quintana-Orti

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Tags: Computer science, CUDA, Linear Algebra, Mathematical Software, Molecular dynamics, nVidia, Performance, Tesla C2050

November 29, 2011 by hgpu

On the numerical sensitivity of computer simulations on hybrid and parallel computing systems

Wenbin Li, Sven Simon, Steffen Kiess

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Tags: Algorithms, Computer science, CUDA, Floating point error, Hybrid computing, nVidia, nVidia GeForce GTX 480

November 28, 2011 by hgpu

Accelerating the Hough Transform with CUDA on Graphics Processing Units

Su Chen, Hai Jiang

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Tags: Algorithms, CUDA, Image processing, nVidia, Tesla C2050

November 28, 2011 by hgpu

Compute-unified device architecture implementation of a block-matching algorithm for multiple graphical processing unit cards

Francesc Massanes, Marie Cadennes, Jovan G. Brankov

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Tags: Algorithms, Computational Complexity, CUDA, H.264/AVC, Image processing, nVidia, Optical flow, Tesla C1060, Tesla C2070

November 28, 2011 by hgpu

Anytime Algorithms for GPU Architectures

Rahul Mangharam, Aminreza Abrahimi Saba

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Tags: Algorithms, Computer science, CUDA, nVidia, Vehicular traffic

November 28, 2011 by hgpu

CuPBoP-AMD: Extending CUDA to AMD Platforms

CuPBoP: Making CUDA a Portable Language

Adopter: Automated Deep Learning Optimization via DSL-based Source Code Transformation

Automated Deep Learning Optimization via DSL-Based Source Code Transformation

ROCm's implementation of Gromacs

GROMACS on AMD GPU-Based HPC Platforms: Using SYCL for Performance and Portability

Code examples for paper on SYCL backend of Kokkos - IWOCL 2024

Experiences with implementing Kokkos’ SYCL backend

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

See all packages

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high performance computing on graphics processing units: hgpu.org

Unleashing the Power of Distributed CPU/GPU Architectures: Massive Astronomical Data Analysis and Visualization case study

GPU-Accelerated SPH Model for Water Waves and Other Free Surface Flows

Multiresolution Flow Simulations on Multi/many-core Architectures

Applications Performance on GPGPUs with the Fermi Architecture

Dynamic Task Parallelism with a GPU Work-Stealing Runtime System

Directives Based Programming of GPU Accelerated Systems

Enabling Efficient Online Profiling of Homogeneous and Heterogeneous Multicore Systems

Solving Dense Generalized Eigenproblems on Multi-threaded Architectures

On the numerical sensitivity of computer simulations on hybrid and parallel computing systems

Accelerating the Hough Transform with CUDA on Graphics Processing Units

Compute-unified device architecture implementation of a block-matching algorithm for multiple graphical processing unit cards

Anytime Algorithms for GPU Architectures

Recent source codes

CuPBoP-AMD: Extending CUDA to AMD Platforms

Adopter: Automated Deep Learning Optimization via DSL-based Source Code Transformation

ROCm's implementation of Gromacs

Code examples for paper on SYCL backend of Kokkos - IWOCL 2024

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

Most viewed papers (last 30 days)