Jacob Nelson
Computer Networks and Communications · 2013–2020
A researcher in the Science corpus: 4 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Networks and Communications — 32 citations into it
- Hardware and Architecture — 26 citations into it
- Information Systems — 20 citations into it
- Electrical and Electronic Engineering — 18 citations into it
- ML Systems & Hardware — 17 citations into it
Whom Jacob Nelson trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Stelios Sidiroglou
- Adrian Sampson
- Muthu Dayalan
- H. Hoffmann
- Hadi Esmaeilzadeh
- Benjamin C. Lee
- Yu Cai
- Ping Zhou
- Stuart E. Schechter
Papers from Jacob Nelson's perspective
Ordered by how strongly the researchers Jacob Nelson trusts endorse each paper. Same corpus, a different order for every researcher.
- A durable and energy efficient main memory using phase change memory technology (International Symposium on Computer Architecture)
- Architecting phase change memory as a scalable dram alternative (International Symposium on Computer Architecture)
- Scalable high performance main memory system using phase-change memory technology (International Symposium on Computer Architecture)
- TensorFlow: A system for large-scale machine learning
- In-datacenter performance analysis of a tensor processing unit
- Dynamic knobs for responsive power-aware computing (ASPLOS XVI)
- MapReduce: simplified data processing on large clusters
- ERSA: Error Resilient System Architecture for probabilistic applications (Design, Automation and Test in Europe)
- DoReFa-Net: Training Low Bitwidth Convolutional Neural Networks with Low Bitwidth Gradients
- P4: programming protocol-independent packet processors (CCRV)
Their papers
- Approximate storage in solid-state memories (2013) — 298 citations
- PLink: Discovering and Exploiting Locality for Accelerated Distributed Training on the public Cloud (2020) — 57 citations
- Scaling Distributed Machine Learning with In-Network Aggregation (2019) — 553 citations
- IncBricks: Toward In-Network Computation with an In-Network Cache (2017) — 176 citations