Tao B. Schardl

Science · 2020

A researcher in the Science corpus: 1 paper; trusts 0 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Papers from Tao B. Schardl's perspective

Ordered by how strongly the researchers Tao B. Schardl trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. In-datacenter performance analysis of a tensor processing unit
3. AdWords and generalized on-line matching (IEEE Annual Symposium on Foundations of Computer Science)
4. Deep, Big, Simple Neural Nets for Handwritten Digit Recognition
5. Cramming More Components Onto Integrated Circuits
6. A new golden age for computer architecture (Communications of the ACM)
7. Large-scale deep unsupervised learning using graphics processors
8. Understanding sources of ineffciency in general-purpose chips
9. The Design and Analysis of Computer Algorithms
10. The Anatomy of a Large-Scale Hypertextual Web Search Engine

Their papers

• There’s plenty of room at the Top: What will drive computer performance after Moore’s law? (2020) — 412 citations