What is he best known for?
The fields of study he is best known for:
- Operating system
- Programming language
- Parallel computing
His primary scientific interests are in Parallel computing, Compiler, Very-large-scale integration, Parallel algorithm and Distributed memory.
His Parallel computing research is multidisciplinary, incorporating perspectives in Simulated annealing, Algorithm, Distributed computing, Fortran and Data structure.
His studies in Compiler integrate themes in fields like Computer architecture, Auxiliary memory, Parallelism, Scheme and Computation.
His Very-large-scale integration research includes elements of CMOS, Algebra, Logic level and Fault detection and isolation.
His Parallel algorithm research is multidisciplinary, relying on both Multiprocessing, Automatic test pattern generation, Fault coverage and Parallel processing.
His research in Distributed memory intersects with topics in Message passing, Data parallelism, Intel Paragon and Programmer.
His most cited work include:
- CHIMAERA: a high-performance architecture with a tightly-coupled reconfigurable functional unit (274 citations)
- Demonstration of automatic data partitioning techniques for parallelizing compilers on multicomputers (227 citations)
- The Paradigm compiler for distributed-memory multicomputers (163 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Parallel computing, Parallel algorithm, Algorithm, Compiler and Distributed memory.
Parallel computing is closely attributed to Very-large-scale integration in his research.
His study on Parallel algorithm also encompasses disciplines like
- Simulated annealing, which have a strong connection to Standard cell,
- Fault coverage that intertwine with fields like Benchmark.
His Algorithm research focuses on Fault tolerance and how it connects with Reliability.
The study incorporates disciplines such as Computer architecture, MATLAB, Programming paradigm and Fortran in addition to Compiler.
As part of one scientific family, Prithviraj Banerjee deals mainly with the area of Distributed memory, narrowing it down to issues related to the Data parallelism, and often Instruction-level parallelism.
He most often published in these fields:
- Parallel computing (59.86%)
- Parallel algorithm (23.13%)
- Algorithm (20.41%)
What were the highlights of his more recent work (between 1998-2013)?
- Parallel computing (59.86%)
- Compiler (18.37%)
- Field-programmable gate array (7.14%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Parallel computing, Compiler, Field-programmable gate array, Algorithm and Computer architecture.
His Parallel computing study frequently links to related topics such as Fortran.
The Compiler study combines topics in areas such as SPMD, MATLAB and Linear algebra.
His Field-programmable gate array research focuses on subjects like Digital signal processing, which are linked to Hardware design languages.
His work on Iterative method as part of his general Algorithm study is frequently connected to Relaxation, thereby bridging the divide between different branches of science.
His Parallel algorithm study combines topics from a wide range of disciplines, such as Scalability and Very-large-scale integration.
Between 1998 and 2013, his most popular works were:
- CHIMAERA: a high-performance architecture with a tightly-coupled reconfigurable functional unit (274 citations)
- A MATLAB compiler for distributed, heterogeneous, reconfigurable computing systems (135 citations)
- Precision and error analysis of MATLAB applications during automated hardware synthesis for FPGAs (85 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Programming language
- Algorithm
Prithviraj Banerjee spends much of his time researching Compiler, Parallel computing, Field-programmable gate array, MATLAB and Algorithm.
Compiler is a subfield of Programming language that he tackles.
His study in the field of Distributed memory and Parallel processing also crosses realms of Fast multipole method.
His work in Field-programmable gate array addresses subjects such as Floating point, which are connected to disciplines such as Auxiliary memory, Integer, Hardware register, Computational science and Lookup table.
He has researched MATLAB in several fields, including Control flow, Inference engine, Register allocation and Benchmark.
While the research belongs to areas of Algorithm, Prithviraj Banerjee spends his time largely on the problem of Transformation matrix, intersecting his research to questions surrounding Parallelism, Program optimization, Loop fission and Locality of reference.
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