hgpu.org » Performance benefit prediction
Jaewoong Sim, Aniruddha Dasgupta, Hyesoon Kim, and Richard Vuduc
Tags: Analytical model, CUDA, GPGPU architecture, nVidia, Performance benefit prediction, Performance prediction, Tesla C2050
March 30, 2012 by Moaddeli
Recent source codes
* * *
Most viewed papers (last 30 days)
- Jailbreaking LLM-Controlled Robots
- Testing GPU Numerics: Finding Numerical Differences Between NVIDIA and AMD GPUs
- Deep Learning and Machine Learning with GPGPU and CUDA: Unlocking the Power of Parallel Computing
- Accelerating Drug Discovery in AutoDock-GPU with Tensor Cores
- Mixed-precision finite element kernels and assembly: Rounding error analysis and hardware acceleration
- Using modern C++ to improve CUDA programs
- Intel(R) SHMEM: GPU-initiated OpenSHMEM using SYCL
- General-Purpose Computing on Tensor Processors
- Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models
- Efficient Arbitrary Precision Acceleration for Large Language Models on GPU Tensor Cores
* * *