Parthasarathy Ranganathan
Computer Networks and Communications · 2000–2023
A researcher in the Science corpus: 20 papers; trusts 44 researchers and is trusted by 10 researchers here, as inferred from the citation graph.
Subfields
- Computer Networks and Communications — 136 citations into it; #6,562 of 9,886 by trust here, #828 by citations
- Hardware and Architecture — 107 citations into it; #617 of 1,551 by trust here, #164 by citations
- Information Systems — 103 citations into it
- Artificial Intelligence — 89 citations into it
- Electrical and Electronic Engineering — 65 citations into it; #4,993 of 16,539 by trust here, #6,973 by citations
- Computer Vision and Pattern Recognition — 45 citations into it
- Natural Language Processing — 39 citations into it
- ML Systems & Hardware — 32 citations into it
Whom Parthasarathy Ranganathan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Luiz André Barroso
- Ilya Sutskever
- Geoffrey E. Hinton
- Yoshua Bengio
- Alex Krizhevsky
- Joseph Dean
- Alex Graves
- Diederik P. Kingma
- Oriol Vinyals
- Tomas Mikolov
Who trusts Parthasarathy Ranganathan overall
- Ashutosh S. Dhodapkar
- Rajeev Balasubramonian
- Seongbeom Kim
- James E. Smith
- Anne-Cécile Orgerie
- Dhruba Chandra
- Anton Beloglazov
- Dzmitry Kliazovich
- Yan Solihin
- Brian Rogers
Papers from Parthasarathy Ranganathan's perspective
Ordered by how strongly the researchers Parthasarathy Ranganathan trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Attention is All you Need (Neural Information Processing Systems)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
Their papers
- Neural Execution Engines: Learning to Execute Subroutines (2020) — 45 citations
- Single-ISA heterogeneous multi-core architectures: the potential for processor power reduction (2003) — 886 citations
- Reconfigurable caches and their application to media processing (2000) — 300 citations
- Cores that don't count (2021) — 240 citations
- A Power Benchmarking Framework for Network Devices (2009) — 447 citations
- JouleSort: a balanced energy-efficiency benchmark (2007) — 312 citations
- Google Workloads for Consumer Devices: Mitigating Data Movement Bottlenecks (2018) — 376 citations
- Socio-Technological Challenges and Opportunities: Paths Forward (2021) — 4 citations
- Learning Performance-Improving Code Edits (2023) — 155 citations
- Learning Execution through Neural Code Fusion (2019) — 32 citations
- Profiling a warehouse-scale computer (2015) — 513 citations
- Heracles: Improving resource efficiency at scale (2015) — 598 citations
- Consistent and Durable Data Structures for Non-Volatile Byte-Addressable Memory (2011) — 411 citations
- Pegasus: Coordinated Scheduling for Virtualized Accelerator-based Systems (2011) — 100 citations
- Green server design: beyond operational energy to sustainability (2010) — 30 citations
- Disaggregated memory for expansion and sharing in blade servers (2009) — 502 citations
- No "power" struggles: coordinated multi-level power management for the data center (2008) — 738 citations
- Making Scheduling "Cool": Temperature-Aware Workload Placement in Data Centers (2005) — 792 citations
- Heterogeneous chip multiprocessors (2005) — 388 citations
- Single-ISA heterogeneous multi-core architectures for multithreaded workload performance (2004) — 364 citations