Rajeev Balasubramonian

Electrical and Electronic Engineering · 2000–2017

A researcher in the Science corpus: 7 papers; trusts 27 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Electrical and Electronic Engineering — 59 citations into it
• Hardware and Architecture — 40 citations into it; #684 of 1,551 by trust here, #447 by citations
• Computer Networks and Communications — 31 citations into it; #5,113 of 9,886 by trust here, #3,523 by citations
• Computer Vision and Pattern Recognition — 27 citations into it

Whom Rajeev Balasubramonian trusts overall

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

1. Kaustav Banerjee
2. N. Jouppi
3. Parthasarathy Ranganathan
4. Naveen Muralimanohar
5. Benjamin C. Lee
6. Li-Shiuan Peh
7. Yoongu Kim
8. Luiz E. Ramos
9. William (Bill) J. Dally
10. Matei A. Zaharia

Who trusts Rajeev Balasubramonian overall

1. Canturk Isci
2. Ashutosh S. Dhodapkar
3. Greg Hamerly
4. David M. Brooks
5. Ali Hadi Zadeh
6. Song Han
7. Margaret Martonosi
8. James E. Smith
9. Hanrui Wang
10. Hadi Esmaeilzadeh

Papers from Rajeev Balasubramonian's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Gradient-based learning applied to document recognition
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
5. Going deeper with convolutions
6. ImageNet Large Scale Visual Recognition Challenge
7. Attention is All you Need (Neural Information Processing Systems)
8. Long Short-Term Memory
9. ImageNet: A large-scale hierarchical image database
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• ISAAC: A Convolutional Neural Network Accelerator with In-Situ Analog Arithmetic in Crossbars (2016) — 1,990 citations
• Energy-efficient processor design using multiple clock domains with dynamic voltage and frequency scaling (2002) — 405 citations
• Overcoming the challenges of crossbar resistive memory architectures (2015) — 327 citations
• CACTI 7 (2017) — 305 citations
• CACTI 6.0: A Tool to Model Large Caches (2009) — 1,102 citations
• Optimizing NUCA Organizations and Wiring Alternatives for Large Caches with CACTI 6.0 (2007) — 803 citations
• Memory hierarchy reconfiguration for energy and performance in general-purpose processor architectures (2000) — 397 citations