high performance computing on graphics processing units: hgpu.org

hgpu.org » Heterogeneous systems

Shadowfax: scaling in heterogeneous cluster systems via GPGPU assemblies

Alexander M. Merritt, Vishakha Gupta, Abhishek Verma, Ada Gavrilovska, Karsten Schwan

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce 9800 GTS, Performance, Virtualization

September 14, 2011 by hgpu

Optimizing a shared virtual memory system for a heterogeneous CPU-accelerator platform

Shoumeng Yan, Xiaocheng Zhou, Ying Gao, Hu Chen, Gansha Wu, Sai Luo, Bratin Saha

Tags: Computer science, Heterogeneous systems, Memory, Operating systems, Performance, Programming Languages

September 12, 2011 by hgpu

SSLPV: subsurface light propagation volumes

Jesper Borlum, Brian Bunch Christensen, Thomas Kim Kjeldsen, Peter Trier Mikkelsen, Karsten Ostergaard Noe, Jens Rimestad, Jesper Mosegaard

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Tags: 3D Graphics and Realism, Algorithms, Computer science, GLSL, Heterogeneous systems, nVidia, nVidia GeForce GTX 580, OpenGL, Package, Rendering

September 11, 2011 by hgpu

A data parallel view on polyhedral process networks

Ana Balevic, Bart Kienhuis

Tags: Computer science, Data parallelism, Heterogeneous systems

September 11, 2011 by hgpu

Heterogeneous multicore parallel programming for graphics processing units

Francois Bodin, Stephane Bihan

Tags: Compilers, Computer science, Heterogeneous systems, nVidia

September 9, 2011 by hgpu

CUDACS: securing the cloud with CUDA-enabled secure virtualization

Flavio Lombardi, Roberto Di Pietro

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Tags: Cloud, Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce 8400 M, nVidia GeForce GT 220, Security, Virtualization

September 9, 2011 by hgpu

Implementing Independent Component Analysis in General-Purpose GPU Architectures

Jacquelyne Forgette, Renata Wachowiak-Smolikova, Mark Wachowiak

Tags: Algorithms, CUDA, Heterogeneous systems, Linear Algebra, nVidia, nVidia GeForce GTX 260, OpenCL, Signal processing

September 8, 2011 by hgpu

Pegasus: coordinated scheduling for virtualized accelerator-based systems

Vishakha Gupta, Karsten Schwan, Niraj Tolia, Vanish Talwar, Parthasarathy Ranganathan

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce 9800 GTX, Operating systems, Task scheduling, Virtualization

September 7, 2011 by hgpu

Chameleon: Virtualizing idle acceleration cores of a heterogeneous multicore processor for caching and prefetching

Dong Hyuk Woo, Joshua B. Fryman, Allan D. Knies, Hsien-Hsin S. Lee

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Tags: Benchmarking, Computer science, Heterogeneous systems, Prefetch

September 7, 2011 by hgpu

Compiler-directed memory management for heterogeneous MPSoCs

Miao Wang, Francois Bodin

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Tags: Cell processor, Computer science, Heterogeneous systems, Memory, Memory model, Optimization

September 7, 2011 by hgpu

Bridging parallel and reconfigurable computing with multilevel PGAS and SHMEM+

V. Aggarwal, A. George, K. Yalamanchili, C. Yoon, H. Lam, G. Stitt

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Tags: Computer science, FPGA, Heterogeneous systems, Performance, Programming Languages, Programming techniques

September 6, 2011 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

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high performance computing on graphics processing units: hgpu.org

Shadowfax: scaling in heterogeneous cluster systems via GPGPU assemblies

Optimizing a shared virtual memory system for a heterogeneous CPU-accelerator platform

SSLPV: subsurface light propagation volumes

A data parallel view on polyhedral process networks

Heterogeneous multicore parallel programming for graphics processing units

Implementing Independent Component Analysis in General-Purpose GPU Architectures

Pegasus: coordinated scheduling for virtualized accelerator-based systems

Chameleon: Virtualizing idle acceleration cores of a heterogeneous multicore processor for caching and prefetching

Compiler-directed memory management for heterogeneous MPSoCs

Bridging parallel and reconfigurable computing with multilevel PGAS and SHMEM+

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

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