high performance computing on graphics processing units: hgpu.org

hgpu.org » Applications

Exploring Portability and Performance of OpenCL FPGA Kernels on Intel HARPv2

Anthony M. Cabrera, Roger D. Chamberlain

View

Download (PDF)

Tags: Computer science, FPGA, Heterogeneous systems, HLS, OpenCL

July 7, 2019 by hgpu

Efficient Spatial Anti-Aliasing Rendering for Line Joins on Vector Maps

Chaoyang He, Ming Li

View

Download (PDF)

Tags: 3D Graphics and Realism, Algorithms, OpenGL, Rendering

July 7, 2019 by hgpu

Novel Methodologies for Predictable CPU-To-GPU Command Offloading

Roberto Cavicchioli, Nicola Capodieci, Marco Solieri, Marko Bertogna

View

Download (PDF)

Source codes

Tags: Computer science, CUDA, Heterogeneous systems, Neural networks, nVidia, Package, Vulkan

July 7, 2019 by hgpu

A Unified Optimization Approach for CNN Model Inference on Integrated GPUs

Leyuan Wang, Zhi Chen, Yizhi Liu, Yao Wang, Lianmin Zheng, Mu Li, Yida Wang

View

Download (PDF)

Source codes

Tags: ARM, CNN, Compilers, Computer science, Deep learning, Machine learning, Neural networks, nVidia, nVidia Jetson Nano, OpenCL, Package

July 7, 2019 by hgpu

FusionAccel: A General Re-configurable Deep Learning Inference Accelerator on FPGA for Convolutional Neural Networks

Shi Shi

View

Download (PDF)

Tags: Computer science, Deep learning, FPGA, Hardware Architecture, Neural networks

July 7, 2019 by hgpu

Semantic Product Search

Priyanka Nigam, Yiwei Song, Vijai Mohan, Vihan Lakshman, Weitian (Allen)Ding, Ankit Shingavi, Choon Hui Teo, Hao Gu, Bing Yin

View

Download (PDF)

Tags: Computer science, Deep learning, Hashing, NLP, nVidia, Tesla V100

July 4, 2019 by hgpu

PIConGPU: Predictive Simulations of Laser-Particle Accelerators with Manycore Hardware

Axel Hübl

View

Download (PDF)

Source codes

Tags: CUDA, HPC, nVidia, Package, Particle-in-cell methods, Physics, Tesla P100, Thesis

July 4, 2019 by hgpu

Themis: Fair and Efficient GPU Cluster Scheduling for Machine Learning Workloads

Kshiteej Mahajan, Arjun Singhvi, Arjun Balasubramanian, Varun Batra, Surya Teja Chavali, Shivaram Venkataraman, Aditya Akella, Amar Phanishayee, Shuchi Chawla

View

Download (PDF)

Tags: Computer science, GPU cluster, Machine learning, nVidia, Task scheduling, Tesla K80, Tesla M60

July 4, 2019 by hgpu

Automated Generation of OpenCL Programs Based on Algebra-Algorithmic Approach

Anatoliy Doroshenko, Oleksii Beketov, Mykola Bondarenko, Olena Yatsenko

View

Download (PDF)

Tags: Code generation, Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 840 M, OpenCL

June 30, 2019 by hgpu

WCCV: Improving the Vectorization of IF-statements with Warp-Coherent Conditions

Huihui Sun, Florian Fey, Jie Zhao, Sergei Gorlatch

View

Download (PDF)

Source codes

Tags: Benchmarking, Code generation, Computer science, LLVM, OpenCL, Package, Performance

June 30, 2019 by hgpu

Memory Bandwidth and Latency in HPC: System Requirements and Performance Impact

Milan Radulovic

View

Download (PDF)

Tags: Computer science, HPC, Intel Xeon Phi, Performance, Thesis

June 30, 2019 by hgpu

Triton: An Intermediate Language and Compiler for Tiled Neural Network Computations

Philippe Tillet, H. T. Kung, David Cox

View

Download (PDF)

Source codes

Tags: Compilers, Computer science, CUDA, Deep learning, High-level Languages, LLVM, Matrix multiplication, Neural networks, nVidia, nVidia GeForce GTX 1070, Package

June 30, 2019 by hgpu

Efficient Graph Embedding at Scale: Optimizing CPU-GPU-SSD Integration

Can Large Language Models Predict Parallel Code Performance?

PELSI: Power-Efficient Layer-Switched Inference

Efficient deep learning inference on end devices

Ouroboros: Virtualized Queues for dynamic memory management

Dynamic Memory Management on GPUs with SYCL

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

Applications

Exploring Portability and Performance of OpenCL FPGA Kernels on Intel HARPv2

Efficient Spatial Anti-Aliasing Rendering for Line Joins on Vector Maps

Novel Methodologies for Predictable CPU-To-GPU Command Offloading

A Unified Optimization Approach for CNN Model Inference on Integrated GPUs

FusionAccel: A General Re-configurable Deep Learning Inference Accelerator on FPGA for Convolutional Neural Networks

Semantic Product Search

PIConGPU: Predictive Simulations of Laser-Particle Accelerators with Manycore Hardware

Themis: Fair and Efficient GPU Cluster Scheduling for Machine Learning Workloads

Automated Generation of OpenCL Programs Based on Algebra-Algorithmic Approach

WCCV: Improving the Vectorization of IF-statements with Warp-Coherent Conditions

Memory Bandwidth and Latency in HPC: System Requirements and Performance Impact

Triton: An Intermediate Language and Compiler for Tiled Neural Network Computations

Recent source codes

microSYCL: SYCL micro-benchmarks repository

XaaS containers

SYCL Container

CASS: Cuda-Amd aSSembly

Cluser of smartphones for edge computing application using TensorFlow

CFAL-bench

Efficient Graph Embedding at Scale: Optimizing CPU-GPU-SSD Integration

Can Large Language Models Predict Parallel Code Performance?

PELSI: Power-Efficient Layer-Switched Inference

Ouroboros: Virtualized Queues for dynamic memory management

Most viewed papers (last 30 days)