hgpu.org » Approximate computing and storage
Stefano Cherubin, Giovanni Agosta
Tags: Approximate computing and storage, Computer science, CUDA, HPC, Mixed precision, nVidia, OpenCL, Precision, survey
May 3, 2020 by hgpu
Sparsh Mittal
January 14, 2016 by sparsh0mittal
Recent source codes
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Most viewed papers (last 30 days)
- Using Intel oneAPI for Multi-hybrid Acceleration Programming with GPU and FPGA Coupling
- 94% on CIFAR-10 in 3.29 Seconds on a Single GPU
- SYCL in the edge: performance and energy evaluation for heterogeneous acceleration
- gpu_tracker: Python package for tracking and profiling GPU utilization in both desktop and high-performance computing environments
- Performance Portable Monte Carlo Particle Transport on Intel, NVIDIA, and AMD GPUs
- Fast Truncated SVD of Sparse and Dense Matrices on Graphics Processors
- Retargeting and Respecializing GPU Workloads for Performance Portability
- Cost-Effective Methodology for Complex Tuning Searches in HPC: Navigating Interdependencies and Dimensionality
- LOOPer: A Learned Automatic Code Optimizer For Polyhedral Compilers
- Seer: Predictive Runtime Kernel Selection for Irregular Problems
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