high performance computing on graphics processing units: hgpu.org

Zachary DeVito, Michael Mara, Michael Zollhofer, Gilbert Bernstein, Jonathan Ragan-Kelley, Christian Theobalt, Pat Hanrahan, Matthew Fisher, Matthias Niessner

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Tags: Comnputer science, Computer vision, CUDA, Image generation, Image processing, nVidia, Programming Languages

April 26, 2016 by hgpu

GPU-FV: Realtime Fisher Vector and Its Applications in Video Monitoring

Wenying Ma, Liangliang Cao, Lei Yu, Guoping Long, Yucheng Li

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Source codes

Tags: Computer science, Computer vision, CUDA, Deep learning, nVidia, Package, Tesla K40

April 14, 2016 by hgpu

GIFT: A Real-time and Scalable 3D Shape Search Engine

Song Bai, Xiang Bai, Zhichao Zhou, Zhaoxiang Zhang, Longin Jan Latecki

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Tags: Computer science, Computer vision, Deep learning

April 9, 2016 by hgpu

Are Very Deep Neural Networks Feasible on Mobile Devices?

S. Rallapalli, H. Qiu, A. J. Bency, S. Karthikeyan, R. Govindan, B.S.Manjunath, R. Urgaonkar

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Tags: CNN, Computer science, Computer vision, CUDA, Deep learning, Neural networks, nVidia, nVidia Jetson TK1

April 6, 2016 by hgpu

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

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

Optical flow algorithms for SYCL

SYCL in the edge: performance and energy evaluation for heterogeneous acceleration

OpenMP5-Offload-OpenMC-Intel-PVC

Distributed OpenMP Offloading of OpenMC on Intel GPU MAX Accelerators

See all packages

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high performance computing on graphics processing units: hgpu.org

Applications

Weighted Residuals for Very Deep Networks

Computer Vision on the GPU — Tools, Algorithms and Frameworks

Ristretto: Hardware-Oriented Approximation of Convolutional Neural Networks

GPU-based Pedestrian Detection for Autonomous Driving

GPU-Accelerated Feature Tracking

An End-to-End System for Unconstrained Face Verifcation with Deep Convolutional Neural Networks

LightNet: A Versatile, Standalone Matlab-based Environment for Deep Learning

Going Deeper with Embedded FPGA Platform for Convolutional Neural Network

Opt: A Domain Specific Language for Non-linear Least Squares Optimization in Graphics and Imaging

GPU-FV: Realtime Fisher Vector and Its Applications in Video Monitoring

GIFT: A Real-time and Scalable 3D Shape Search Engine

Are Very Deep Neural Networks Feasible on Mobile Devices?

Recent source codes

QArray

Celerity: High-level C++ for Accelerator Clusters

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

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

Optical flow algorithms for SYCL

OpenMP5-Offload-OpenMC-Intel-PVC

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