What is he best known for?
The fields of study he is best known for:
- Operating system
- Computer network
- The Internet
His primary areas of investigation include Computer network, Distributed computing, The Internet, Computer security and Scalability.
His Computer network study combines topics from a wide range of disciplines, such as PlanetLab and Software deployment.
His Distributed computing study incorporates themes from Routing table, Routing protocol and Mobile device.
Arvind Krishnamurthy has included themes like Latency, Network packet, Network management application, Real-time computing and Protocol in his The Internet study.
His study in the field of Key, Access control and Privacy software is also linked to topics like Data sharing.
His study in Scalability is interdisciplinary in nature, drawing from both Overlay, Network architecture, Network management station and Open network architecture.
His most cited work include:
- Making middleboxes someone else's problem: network processing as a cloud service (677 citations)
- P4p: provider portal for applications (656 citations)
- iPlane: an information plane for distributed services (511 citations)
What are the main themes of his work throughout his whole career to date?
Arvind Krishnamurthy mostly deals with Distributed computing, Computer network, The Internet, Computer security and Operating system.
Within one scientific family, Arvind Krishnamurthy focuses on topics pertaining to Cloud computing under Distributed computing, and may sometimes address concerns connected to Workload.
His Computer network and Network packet, Latency, Bandwidth, Data center and traceroute investigations all form part of his Computer network research activities.
His studies deal with areas such as Routing and Telecommunications as well as The Internet.
The Computer security study which covers BitTorrent that intersects with BitTorrent tracker.
As part of his studies on Operating system, Arvind Krishnamurthy frequently links adjacent subjects like Web page.
He most often published in these fields:
- Distributed computing (31.14%)
- Computer network (24.12%)
- The Internet (17.98%)
What were the highlights of his more recent work (between 2017-2021)?
- Artificial intelligence (9.21%)
- Distributed computing (31.14%)
- Deep learning (4.39%)
In recent papers he was focusing on the following fields of study:
Arvind Krishnamurthy focuses on Artificial intelligence, Distributed computing, Deep learning, Operating system and Server.
His research investigates the connection between Artificial intelligence and topics such as Machine learning that intersect with problems in Process, Benchmark and Key.
His study in Distributed computing focuses on Replication in particular.
Arvind Krishnamurthy combines subjects such as Computer architecture, CUDA and Convolution with his study of Deep learning.
In his study, Latency, Semantics and Firewall is inextricably linked to Middlebox, which falls within the broad field of Operating system.
His research integrates issues of Bottleneck, Cloud computing, Scalability and Private information retrieval in his study of Server.
Between 2017 and 2021, his most popular works were:
- TVM: an automated end-to-end optimizing compiler for deep learning (276 citations)
- TVM: End-to-End Optimization Stack for Deep Learning (83 citations)
- Learning to Optimize Tensor Programs (66 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Computer network
- The Internet
Arvind Krishnamurthy mainly investigates Artificial intelligence, Deep learning, Computer architecture, Compiler and Software.
His Artificial intelligence research is multidisciplinary, relying on both Machine learning, Operator and Computer engineering.
As a part of the same scientific family, he mostly works in the field of Deep learning, focusing on CUDA and, on occasion, Scalability and Hardware acceleration.
Arvind Krishnamurthy has researched Computer architecture in several fields, including Just-in-time compilation, Hardware architecture, Design space exploration and Runtime system.
His Compiler study combines topics in areas such as Field-programmable gate array, Extensibility, Software portability and Instruction set.
His work deals with themes such as Artificial neural network and Networking hardware, which intersect with Software.
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