Abhishek Dhanotia

Computer Networks and Communications · 2019–2022

A researcher in the Science corpus: 3 papers; trusts 19 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Computer Networks and Communications — 30 citations into it; #5,354 of 9,886 by trust here, #6,788 by citations
• Hardware and Architecture — 22 citations into it
• Information Systems — 21 citations into it; #4,485 of 8,771 by trust here, #6,195 by citations
• Artificial Intelligence — 8 citations into it
• Electrical and Electronic Engineering — 6 citations into it
• ML Systems & Hardware — 6 citations into it; #323 of 575 by trust here, #499 by citations
• Computer Vision and Pattern Recognition — 5 citations into it

Whom Abhishek Dhanotia trusts overall

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

1. Guilherme Ottoni
2. Tuomas Pelkonen
3. Akshitha Sriraman
4. Svilen Kanev
5. A. Belay
6. Sunpyo Hong
7. Kim M. Hazelwood
8. Emilee J. Rader
9. Scott Franklin
10. Michael Ferdman

Who trusts Abhishek Dhanotia overall

1. Akshitha Sriraman
2. Haoran Qiu

Papers from Abhishek Dhanotia's perspective

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

1. Web Search for a Planet: The Google Cluster Architecture (IEEE Micro)
2. In-datacenter performance analysis of a tensor processing unit
3. Tradeoffs between power management and tail latency in warehouse-scale applications
4. CPI2: CPU performance isolation for shared compute clusters (European Conference on Computer Systems)
5. A reconfigurable fabric for accelerating large-scale datacenter services
6. Paragon: QoS-aware scheduling for heterogeneous datacenters (International Conference on Architectural Support for Programming Languages and Operating Systems)
7. Dune: Safe User-level Access to Privileged CPU Features (USENIX Symposium on Operating Systems Design and Implementation)
8. Applied Machine Learning at Facebook: A Datacenter Infrastructure Perspective
9. Bubble-up: Increasing utilization in modern warehouse scale computers via sensible co-locations (Micro)
10. Profiling a warehouse-scale computer (International Symposium on Computer Architecture)

Their papers

• TPP: Transparent Page Placement for CXL-Enabled Tiered-Memory (2022) — 331 citations
• Accelerometer: Understanding Acceleration Opportunities for Data Center Overheads at Hyperscale (2020) — 123 citations
• SoftSKU: Optimizing Server Architectures for Microservice Diversity @Scale (2019) — 115 citations