What is he best known for?
The fields of study he is best known for:
- Operating system
- Computer network
- Programming language
His primary areas of study are Computer network, Distributed computing, Real-time computing, Computer hardware and Latency.
The Computer network study combines topics in areas such as Scalability and World Wide Web.
In general Distributed computing study, his work on High availability often relates to the realm of Linearizability, thereby connecting several areas of interest.
His Real-time computing research integrates issues from Wireless, Encoder, Arithmetic underflow and Component.
His Extended memory study, which is part of a larger body of work in Computer hardware, is frequently linked to Non-standard RAID levels, Throughput and Parity drive, bridging the gap between disciplines.
His Latency research is multidisciplinary, incorporating perspectives in Consistency model, Server and Hybrid storage.
His most cited work include:
- Scratchpad memory: a design alternative for cache on-chip memory in embedded systems (618 citations)
- Extending SSD lifetimes with disk-based write caches (250 citations)
- Consistency-based service level agreements for cloud storage (177 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Parallel computing, Embedded system, Distributed computing, Field-programmable gate array and Computer architecture.
The various areas that Mahesh Balakrishnan examines in his Parallel computing study include Scheduling, Process, Computer hardware and Interconnection.
His studies in Embedded system integrate themes in fields like Cache pollution and Cache.
His studies deal with areas such as Scalability, Computer network, Server and Data structure as well as Distributed computing.
His Computer network research incorporates themes from Forward error correction and Cloud computing.
His Computer architecture study incorporates themes from High-level synthesis, Design space exploration and Application software.
He most often published in these fields:
- Parallel computing (21.76%)
- Embedded system (15.74%)
- Distributed computing (13.43%)
What were the highlights of his more recent work (between 2014-2021)?
- Parallel computing (21.76%)
- Field-programmable gate array (12.96%)
- Embedded system (15.74%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Parallel computing, Field-programmable gate array, Embedded system, Braille and Multi-core processor.
The study incorporates disciplines such as Concurrent data structure, Data structure, Construct and Server in addition to Parallel computing.
As a part of the same scientific family, Mahesh Balakrishnan mostly works in the field of Server, focusing on Computer data storage and, on occasion, Dram, Terabyte and Latency.
His Field-programmable gate array research incorporates elements of Software implementation and Speedup.
His study on Embedded system also encompasses disciplines like
- Chip that intertwine with fields like Shared resource,
- Memory bandwidth that intertwine with fields like Cache and Scheduling.
His Refreshable braille display study integrates concerns from other disciplines, such as Computer hardware, SMA* and Shape-memory alloy.
Between 2014 and 2021, his most popular works were:
- Black-box Concurrent Data Structures for NUMA Architectures (30 citations)
- The fuzzylog: a partially ordered shared log (9 citations)
- A compliant mechanism for refreshable braille display using shape memory alloy (8 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Computer network
- Programming language
The scientist’s investigation covers issues in Braille, Parallel computing, Refreshable braille display, Data structure and Field-programmable gate array.
Mahesh Balakrishnan integrates Parallel computing and Abstraction in his studies.
His work deals with themes such as Computer hardware, SMA* and Shape-memory alloy, which intersect with Refreshable braille display.
His Data structure research is multidisciplinary, incorporating elements of Server, Leverage and Concurrency.
Mahesh Balakrishnan combines subjects such as Replication, Distributed computing, Node and Computer data storage with his study of Server.
He has researched Field-programmable gate array in several fields, including Embedding and Software implementation.
This overview was generated by a machine learning system which analysed the scientist’s
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