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)
- CuTeGen: An LLM-Based Agentic Framework for Generation and Optimization of High-Performance GPU Kernels using CuTe
- Revealing NVIDIA Closed-Source Driver Command Streams for CPU-GPU Runtime Behavior Insight
- MegaTrain: Full Precision Training of 100B+ Parameter Large Language Models on a Single GPU
- Evaluating CUDA Tile for AI Workloads on Hopper and Blackwell GPUs
- Agentic Code Optimization via Compiler-LLM Cooperation
- FACT: Compositional Kernel Synthesis with a Three-Stage Agentic Workflow
- DITRON: Distributed Multi-level Tiling Compiler for Parallel Tensor Programs
- DVM: Real-Time Kernel Generation for Dynamic AI Models
- ARGUS: Agentic GPU Optimization Guided by Data-Flow Invariants
- Kernel-Smith: A Unified Recipe for Evolutionary Kernel Optimization
* * *



