hgpu.org » Embedded high-performance computing
Dongrui She, Yifan He, Luc Waeijen, Henk Corporaal
September 24, 2015 by hgpu
Max Danielsson, Thomas Sievert
Tags: Android, Computer science, Computer vision, Embedded high-performance computing, nVidia, nVidia GeForce GTX 660, OpenCL, Package, Thesis
August 24, 2015 by hgpu
Luna Backes, Alejandro Rico, Bjorn Franke
July 28, 2015 by hgpu
Sparsh Mittal
Tags: Embedded high-performance computing, Energy-efficient computing, FPGA, GPU, Power-efficient computing
January 7, 2015 by sparsh0mittal
Sudipta Chattopadhyay, Petru Eles, Zebo Peng
Tags: Computer science, CUDA, Embedded high-performance computing, GPGPU-sim, Memory, nVidia, Performance
September 19, 2014 by hgpu
Elena Aragon, Juan M. Jimenez, Arian Maghazeh, Jim Rasmusson, Unmesh D. Bordoloi
Tags: Algorithms, ARM, Computer science, Embedded high-performance computing, OpenCL, Pattern Search
September 11, 2014 by hgpu
Li Tian, Fugen Zhou, Cai Meng
May 18, 2014 by hgpu
Iype P. Joseph
March 15, 2014 by hgpu
Arslan Munir, Sanjay Ranka, Ann Gordon-Ross
April 6, 2012 by hgpu
Siddharth Nilakantan, Srikanth Annangi, Nikhil Gulati, Karthik Sangaiah, Mark Hempstead
Tags: Algorithms, Computer science, CUDA, Embedded high-performance computing, nVidia, nVidia GeForce 8800 GTX, OpenMP, Performance, Ultrasound
November 12, 2011 by hgpu
Kulin V. Seth
Tags: Benchmarking, Computer science, DSP, Embedded high-performance computing, Heterogeneous systems, OpenCL, Optimization, Thesis
September 23, 2011 by hgpu
Jason Loew, Jesse Elwell, Dmitry Ponomarev, Patrick H. Madden
September 23, 2011 by hgpu
Recent source codes
* * *
Most viewed papers (last 30 days)
- When Machine Learning Meets Quantum Computers: A Case Study
- NVIDIA SimNet: an AI-accelerated multi-physics simulation framework
- Directive-Based Data Partitioning and Pipelining and Auto-Tuning for High-Performance GPU Computing
- Solving large permutation flow-shop scheduling problems on GPU-accelerated supercomputers
- Highly Efficient Lattice-Boltzmann Multiphase Simulations of Immiscible Fluids at High-Density Ratios on CPUs and GPUs through Code Generation
- ANGHABENCH: a Suite with One Million Compilable C Benchmarks for Code-Size Reduction
- Solving Mixed Integer Programs Using Neural Networks
- Hardware and Software Optimizations for Accelerating Deep Neural Networks: Survey of Current Trends, Challenges, and the Road Ahead
- Design, Implementation and Test of Efficient GPU to GPU Communication Methods
- CNN2Gate: An Implementation of Convolutional Neural Networks Inference on FPGAs with Automated Design Space Exploration
* * *
Featured events
2021
April
27-29
Munich, Germany
9th International Workshop on OpenCL and SYCL, 2021
2020
December
10-14
Virtually in Barcelona, Spain
The 18th International Conference on High Performance Computing & Simulation (HPCS), 2020
2020
November
24-27
Naha, Okinawa, Japan
The Fifth International Workshop on GPU Computing and AI (GCA), 2020
2021
January
13-15
Shenzhen, China
2nd International Conference on Frontiers of Intelligent Manufacturing and Automation (CFIMA’21), 2021
2020
December
14-16
Bangkok, Thailand