IEEE Micro· 2021Q1
NVIDIA A100 Tensor Core GPU: Performance and Innovation
- 383citations
- Q1SCImago
- 2021year
Short summary
The NVIDIA A100 Tensor Core GPU introduces significant performance and capability enhancements for HPC, AI, and data analytics workloads.
AI-generated from the title and abstract; the full text is not read.
Key points
- The NVIDIA A100 GPU is designed for high-performance computing (HPC), artificial intelligence (AI), and data analytics.
- Key innovations include third-generation Tensor Cores for accelerated matrix operations.
- New asynchronous data movement and programming models improve workload efficiency.
- Enhanced L2 cache, HBM2 DRAM, and third-generation NVLink I/O contribute to overall performance gains.
AI-generated from the title and abstract; the full text is not read.
Abstract
NVIDIA A100 Tensor Core GPU is NVIDIA's latest flagship GPU. It has been designed with many new innovative features to provide performance and capabilities for HPC, AI, and data analytics workloads. Feature enhancements include a Third-Generation Tensor Core, new asynchronous data movement and programming model, enhanced L2 cache, HBM2 DRAM, and third-generation NVIDIA NVLink I/O.
The authors' abstract, as published at the source. IEEE Micro, 2021 · DOI ↗
Continue with a free account
Ask the paper: 3 free questions a day about this paper; save it, get its citation, new summaries every day for your field. Takeaways are Premium.
Continue free on the webSign in with Google or Apple; no card needed. You come back to this paper.
On your phone:
Field: Hardware and Architecture
Hardware and ArchitectureComputer Science