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Hardware Acceleration of EDA Algorithms: Custom ICs, FPGAs and GPUs

Kanupriya Gulati and Sunil P. Khatri

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Tags: Book, CAD, Computer science, CUDA, Electronic design automation, FPGA, nVidia, nVidia GeForce 8800 GTS, nVidia GeForce GTX 280, nVidia Quadro FX 5800, Review

March 14, 2011 by hgpu

GEMM on a GPU

Jonathan Monette

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Tags: BLAS, Computer science, CUDA, Linear Algebra, nVidia, nVidia Quadro FX 5800, Poster

March 12, 2011 by hgpu

StarPU: a Runtime System for Scheduling Tasks over Accelerator-Based Multicore Machines

Cedric Augonnet, Samuel Thibault, Raymond Namyst

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Tags: Computer science, CUDA, Distributed computing, nVidia, nVidia Quadro FX 4600, nVidia Quadro FX 5800, Package, Performance

February 26, 2011 by hgpu

Porous Rock Simulations and Lattice Boltzmann on GPUs

Eirik O. Aksnes, and Anne C. Elster

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Tags: CUDA, Fluid dynamics, Lattice Boltzmann model, nVidia, nVidia Quadro FX 5800

February 25, 2011 by hgpu

Dynamically scheduled Cholesky factorization on multicore architectures with GPU accelerators

Emmanuel Agullo, Cedric Augonnet, Jack Dongarra, Hatem Ltaief, Raymond Namyst, Jean Roman, Samuel Thibault, Stanimire Tomov

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Tags: Computer science, CUDA, Linear Algebra, nVidia, nVidia Quadro FX 5800, Task scheduling

February 17, 2011 by hgpu

Efficient Sparse Voxel Octrees – Analysis, Extensions, and Implementation

Samuli Laine, Tero Karras

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Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, nVidia, nVidia Quadro FX 5800, Package, Rendering

February 12, 2011 by hgpu

Efficient sparse voxel octrees

Samuli Laine, Tero Karras

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Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, nVidia, nVidia Quadro FX 5800, Package, Rendering

February 12, 2011 by hgpu

Image Space Gathering

Austin Robison, Peter Shirley

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Tags: 3D Graphics and Realism, Algorithms, Cg, Computer science, nVidia, nVidia Quadro FX 5800, OpenGL

February 12, 2011 by hgpu

Real-time Spatiotemporal Stereo Matching Using the Dual-Cross-Bilateral Grid

Christian Richardt, Douglas Orr, Ian Davies, Antonio Criminisi and Neil A. Dodgson

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Tags: Computer science, Computer vision, CUDA, nVidia, nVidia Quadro FX 5800, Package

February 7, 2011 by hgpu

Introduction to GPU programming for EDA

John F. Croix, Sunil P. Khatri

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Tags: Computational Engineering, Computer science, CUDA, nVidia, nVidia GeForce GTX 280, nVidia Quadro FX 5800, OpenCL, Presentation, Review

February 1, 2011 by hgpu

Visualizing complex dynamics in many-core accelerator architectures

Aaron Ariel, Wilson W. L. Fung, Andrew E. Turner, Tor M. Aamodt

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Tags: Computer science, CUDA, nVidia, nVidia Quadro FX 5800, Visualization

January 15, 2011 by hgpu

Accelerating SIFT on parallel architectures

Seth Warn, Wesley Emeneker, Jackson Cothren, Amy Apon

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Tags: Computer vision, CUDA, Image processing, nVidia Quadro FX 5800

January 15, 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

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high performance computing on graphics processing units: hgpu.org

Hardware Acceleration of EDA Algorithms: Custom ICs, FPGAs and GPUs

GEMM on a GPU

StarPU: a Runtime System for Scheduling Tasks over Accelerator-Based Multicore Machines

Porous Rock Simulations and Lattice Boltzmann on GPUs

Dynamically scheduled Cholesky factorization on multicore architectures with GPU accelerators

Efficient Sparse Voxel Octrees – Analysis, Extensions, and Implementation

Efficient sparse voxel octrees

Image Space Gathering

Real-time Spatiotemporal Stereo Matching Using the Dual-Cross-Bilateral Grid

Introduction to GPU programming for EDA

Visualizing complex dynamics in many-core accelerator architectures

Accelerating SIFT on parallel architectures

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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