high performance computing on graphics processing units: hgpu.org

Hartmut Kaiser, Patrick Diehl, Adrian S. Lemoine, Bryce Adelstein Lelbach, Parsa Amini, Agustín Berge, John Biddiscombe, Steven R. Brandt, Nikunj Gupta, Thomas Heller, Kevin Huck, Zahra Khatami, Alireza Kheirkhahan, Auriane Reverdell, Shahrzad Shirzad, Mikael Simberg, Bibek Wagle, Weile Wei, Tianyi Zhang

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Tags: Computer science, CUDA, nVidia, OpenCL, Package, Performance

September 13, 2020 by hgpu

Hierarchical Roofline Analysis: How to Collect Data using Performance Tools on Intel CPUs and NVIDIA GPUs

Charlene Yang

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Tags: Computer science, CUDA, nVidia, Package, Performance, Tesla V100

September 13, 2020 by hgpu

Hash-Based Authentication Revisited in the Age of High-Performance Computers

Niclas Hedam, Jakob Mollerup, Pinar Tozun

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Tags: Computer science, CUDA, Databases, Hashing, nVidia, nVidia GeForce RTX 2070, OpenCL, Security, Tesla V100

September 6, 2020 by hgpu

A Distributed Architecture for Smart Recycling Using Machine Learning

Dimitris Ziouzios, Dimitris Tsiktsiris, Nikolaos Baras, Minas Dasygenis

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Tags: Algorithms, Cloud, Computer science, Computer vision, CUDA, Machine learning, nVidia, Security

September 6, 2020 by hgpu

Heterogeneity-Aware Cluster Scheduling Policies for Deep Learning Workloads

Deepak Narayanan, Keshav Santhanam, Fiodar Kazhamiaka, Amar Phanishayee, Matei Zaharia

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Tags: Computer science, CUDA, Deep learning, FPGA, GPU cluster, Heterogeneous systems, nVidia, Optimization, Task scheduling, Tesla K80, Tesla P100, Tesla V100

August 30, 2020 by hgpu

CRAC: Checkpoint-Restart Architecture for CUDA with Streams and UVM

Twinkle Jain, Gene Cooperman

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Tags: Computer science, CUDA, HPC, nVidia, nVidia Quadro K600, Package, Tesla V100

August 30, 2020 by hgpu

Evaluating the Performance Portability of Contemporary SYCL Implementations

Evaluating the Performance and Portability of Contemporary SYCL Implementations

BootCMatchG: An adaptive Algebraic MultiGrid linear solver for GPUs

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Bangkok, Thailand

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high performance computing on graphics processing units: hgpu.org

Hybrid MPI and CUDA Parallelization for CFD Applications on Multi-GPU HPC Clusters

Performance Evaluation of Mixed Precision Algorithms for Solving Sparse Linear Systems

Designing Efficient Barriers and Semaphores for Graphics Processing Units

A Comparison of Optimal Scanline Voxelization Algorithms

WarpCore: A Library for fast Hash Tables on GPUs

Tools for GPU Computing–Debugging and Performance Analysis of Heterogenous HPC Applications

HPX – The C++ Standard Library for Parallelism and Concurrency

Hierarchical Roofline Analysis: How to Collect Data using Performance Tools on Intel CPUs and NVIDIA GPUs

Hash-Based Authentication Revisited in the Age of High-Performance Computers

Heterogeneity-Aware Cluster Scheduling Policies for Deep Learning Workloads

CRAC: Checkpoint-Restart Architecture for CUDA with Streams and UVM

Recent source codes

Evaluating the Performance Portability of Contemporary SYCL Implementations

BootCMatchG: An adaptive Algebraic MultiGrid linear solver for GPUs

cuSZ: CUDA-Based Error-Bounded Lossy Compressor for Scientific Data

Ginkgo: a high-performance linear algebra library for manycore systems

GPURepair

Dazmir

ACA-project

TornadoVM

AMGCL

Tinker-HP: High Performance Multi-GPUs Massively Parallel Evolution of Tinker

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Featured events

The 18th International Conference on High Performance Computing & Simulation (HPCS), 2020

The Fifth International Workshop on GPU Computing and AI (GCA), 2020

2nd International Conference on Frontiers of Intelligent Manufacturing and Automation (CFIMA’21), 2021

International Conference on Cyber Physical Systems and IoT (CPSIOT’20), 2020

International Conference on Wireless Networks and Embedded Systems (ICWNES’20), 2020