Sudhakar Yalamanchili

2002–2016

A researcher in the Science corpus: 3 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Sudhakar Yalamanchili trusts overall

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

1. Simon S. Haykin

Who trusts Sudhakar Yalamanchili overall

1. Maciej Besta
2. Milo M. K. Martin
3. Luca Benini

Papers from Sudhakar Yalamanchili's perspective

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

1. Gradient-based learning applied to document recognition
2. Learning to Forget: Continual Prediction with LSTM
3. Decomposing a scene into geometric and semantically consistent regions
4. PRINCIPLES OF NEURODYNAMICS. PERCEPTRONS AND THE THEORY OF BRAIN MECHANISMS
5. NeuFlow: A runtime reconfigurable dataflow processor for vision
6. CNP: An FPGA-based processor for Convolutional Networks
7. GPUTeraSort: high performance graphics co-processor sorting for large database management (SIGMOD Conference)
8. Fast computation of database operations using graphics processors (ACM SIGMOD Conference)
9. DaDianNao: A Machine-Learning Supercomputer
10. A 240 G-ops/s Mobile Coprocessor for Deep Neural Networks (2014 IEEE Conference on Computer Vision and Pattern Recognition Workshops)

Their papers

• Neurocube: A Programmable Digital Neuromorphic Architecture with High-Density 3D Memory (2016) — 213 citations
• Optimizing Data Warehousing Applications for GPUs Using Kernel Fusion/Fission (2012) — 59 citations
• Interconnection Networks: An Engineering Approach (2002) — 2,158 citations