Arun K. Subramaniyan
Mechanics of Materials · 2006–2018
A researcher in the Science corpus: 5 papers; trusts 3 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Mechanics of Materials — 29 citations into it; #3,945 of 6,291 by trust here, #4,102 by citations
- Materials Chemistry — 9 citations into it
Whom Arun K. Subramaniyan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Arun K. Subramaniyan overall
Papers from Arun K. Subramaniyan's perspective
Ordered by how strongly the researchers Arun K. Subramaniyan trusts endorse each paper. Same corpus, a different order for every researcher.
- RowClone: Fast and energy-efficient in-DRAM bulk data copy and initialization (Micro)
- Sniper: Exploring the level of abstraction for scalable and accurate parallel multi-core simulation (2011 International Conference for High Performance Computing, Networking, Storage and Analysis (SC))
- EIE: Efficient Inference Engine on Compressed Deep Neural Network
- Rethinking the Inception Architecture for Computer Vision
- DaDianNao: A Machine-Learning Supercomputer
- A new look at the atomic level virial stress: on continuum-molecular system equivalence (Proceedings of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences)
- DoReFa-Net: Training Low Bitwidth Convolutional Neural Networks with Low Bitwidth Gradients
- PIM-enabled instructions: A low-overhead, locality-aware processing-in-memory architecture (International Symposium on Computer Architecture)
- Pinatubo: A processing-in-memory architecture for bulk bitwise operations in emerging non-volatile memories (Design Automation Conference)
- Stripes: Bit-serial deep neural network computing (Micro)
Their papers
- Neural Cache: Bit-Serial In-Cache Acceleration of Deep Neural Networks (2018) — 392 citations
- Continuum interpretation of virial stress in molecular simulations (2008) — 466 citations
- Compute Caches (2017) — 331 citations
- Validation of a peridynamic model for fatigue cracking (2016) — 145 citations
- Enhancing compressive strength of unidirectional polymeric composites using nanoclay (2006) — 156 citations