hgpu.org » Energy efficiency
Mina Ashoury, Mohammad Loni, Farshad Khunjush, Masoud Daneshtalab
Tags: Computer science, CUDA, Energy efficiency, Linear Algebra, nVidia, nVidia GeForce GTX 1080, nVidia GeForce GTX 1650, Sparse matrix
February 26, 2023 by hgpu
Sparsh Mittal
Tags: Energy efficiency, GPU, nVidia, Performance, Power, Register file, Reliability, Research, survey
March 22, 2016 by sparsh0mittal
Recent source codes
* * *
Most viewed papers (last 30 days)
- Acceleration as a Service (XaaS) Source Containers
- Omniwise: Predicting GPU Kernels Performance with LLMs
- Exploring SYCL as a Portability Layer for High-Performance Computing on CPUs
- All You Need Is Binary Search! A Practical View on Lightweight Database Indexing on GPUs
- CUDA-LLM: LLMs Can Write Efficient CUDA Kernels
- Engineering Supercomputing Platforms for Biomolecular Applications
- GCStack+GCScaler: Fast and Accurate GPU Performance Analyses Using Fine-Grained Stall Cycle Accounting and Interval Analysis
- P4OMP: Retrieval-Augmented Prompting for OpenMP Parallelism in Serial Code
- chemtrain-deploy: A parallel and scalable framework for machine learning potentials in million-atom MD simulations
- A First Look at Bugs in LLM Inference Engines
* * *