Mark Hempstead

Electrical and Electronic Engineering · 2004–2020

A researcher in the Science corpus: 4 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Mark Hempstead trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Wendi Rabiner Heinzelman
  2. Anantha P. Chandrakasan
  3. Wei Ye
  4. Samuel Madden

Who trusts Mark Hempstead overall

  1. Christopher M. Sadler
  2. Olaf Landsiedel
  3. Xuanwen Luo

Papers from Mark Hempstead's perspective

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

  1. Energy-efficient communication protocol for wireless microsensor networks (Proceedings of the Annual Hawaii International Conference on System Sciences)
  2. Proceedings of the 5th Symposium on Operating Systems Design and Implementation Tag: a Tiny Aggregation Service for Ad-hoc Sensor Networks
  3. Efficient Estimation of Word Representations in Vector Space
  4. Eyeriss: An Energy-Efficient Reconfigurable Accelerator for Deep Convolutional Neural Networks
  5. EIE: Efficient Inference Engine on Compressed Deep Neural Network
  6. Medium access control with coordinated adaptive sleeping for wireless sensor networks (IEEE/ACM Transactions on Networking)
  7. Minerva: Enabling Low-Power, Highly-Accurate Deep Neural Network Accelerators
  8. Deep Compression: Compressing Deep Neural Network with Pruning, Trained Quantization and Huffman Coding
  9. PyTorch: An Imperative Style, High-Performance Deep Learning Library
  10. Cambricon-X: An accelerator for sparse neural networks

Their papers