What is he best known for?
The fields of study he is best known for:
- Programming language
- Operating system
- Parallel computing
His primary scientific interests are in Parallel computing, Compiler, Java, Programming language and Distributed computing.
Vivek Sarkar works mostly in the field of Parallel computing, limiting it down to topics relating to Work stealing and, in certain cases, Cilk.
The study incorporates disciplines such as Computer architecture and Runtime system in addition to Compiler.
In general Java study, his work on Java concurrency often relates to the realm of Empirical measure, thereby connecting several areas of interest.
His Programming language research is multidisciplinary, relying on both Data-flow analysis and Representation.
His Distributed computing research is multidisciplinary, incorporating perspectives in Dynamic priority scheduling and Fixed-priority pre-emptive scheduling.
His most cited work include:
- X10: an object-oriented approach to non-uniform cluster computing (1151 citations)
- Baring it all to software: Raw machines (609 citations)
- The Jalapeño virtual machine (547 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Parallel computing, Programming language, Compiler, Programming paradigm and Distributed computing.
His work carried out in the field of Parallel computing brings together such families of science as Java and Scheduling.
His work in the fields of Programming language, such as Parallel programming model, Scala and Execution model, intersects with other areas such as Context.
His Compiler study combines topics from a wide range of disciplines, such as Computer architecture, Fortran, Programmer and Code generation.
He has included themes like Software portability, CUDA, Asynchronous communication and Runtime system in his Programming paradigm study.
In the subject of general Distributed computing, his work in Work stealing and Concurrency is often linked to Locality, thereby combining diverse domains of study.
He most often published in these fields:
- Parallel computing (46.96%)
- Programming language (25.97%)
- Compiler (24.86%)
What were the highlights of his more recent work (between 2017-2021)?
- Parallel computing (46.96%)
- Compiler (24.86%)
- Distributed computing (14.36%)
In recent papers he was focusing on the following fields of study:
Vivek Sarkar mainly investigates Parallel computing, Compiler, Distributed computing, Programming paradigm and Scheduling.
The concepts of his Parallel computing study are interwoven with issues in Optimizing compiler, Thread and General-purpose computing on graphics processing units.
Vivek Sarkar combines subjects such as Theoretical computer science, Programmer, Parallel programming model, SIMD and Implementation with his study of Compiler.
His work deals with themes such as Cilk, Correctness and Asynchronous communication, which intersect with Distributed computing.
His Programming paradigm research includes elements of Message passing, Symbolic execution, Task and Porting.
His Scheduling study deals with Microarchitecture intersecting with Register file, Instruction set and Context switch.
Between 2017 and 2021, his most popular works were:
- Understanding Reuse, Performance, and Hardware Cost of DNN Dataflow: A Data-Centric Approach (49 citations)
- RegMutex: inter-warp GPU register time-sharing (20 citations)
- T2S-Tensor: Productively Generating High-Performance Spatial Hardware for Dense Tensor Computations (14 citations)
In his most recent research, the most cited papers focused on:
- Programming language
- Operating system
- Compiler
His primary areas of investigation include Parallel computing, Scheduling, Computation, Computer hardware and Reuse.
Vivek Sarkar has researched Parallel computing in several fields, including Scalability, Thread, Optimizing compiler, Software bug and Static analysis.
His research in Thread intersects with topics in Compiler, Loop fusion and Programmer.
Vivek Sarkar integrates Compiler and Spatial mapping in his research.
His studies deal with areas such as Theoretical computer science and Functional specification as well as Computation.
In his study, Programming paradigm is inextricably linked to Runtime system, which falls within the broad field of Schedule.
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