What is he best known for?
The fields of study he is best known for:
- Operating system
- Central processing unit
- Programming language
Parallel computing, Computer hardware, Distributed computing, Scalability and Algorithm are his primary areas of study.
His Parallel computing study combines topics in areas such as Scheduling and Memory bank.
The various areas that Srimat T. Chakradhar examines in his Computer hardware study include Electronic engineering, Filesystem-level encryption, Block cipher and Massively parallel.
His Distributed computing research is multidisciplinary, relying on both Workload, Key, Programming paradigm and Implementation.
His studies deal with areas such as Process, Application-specific integrated circuit, Embedded system, Algorithm design and Multi-core processor as well as Scalability.
He has researched Algorithm in several fields, including Artificial neural network, Digital electronics, Very-large-scale integration and Automatic test pattern generation.
His most cited work include:
- Analysis and characterization of inherent application resilience for approximate computing (320 citations)
- A dynamically configurable coprocessor for convolutional neural networks (308 citations)
- Tarazu: optimizing MapReduce on heterogeneous clusters (221 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Algorithm, Parallel computing, Embedded system, Sequential logic and Computer hardware.
His Algorithm study combines topics from a wide range of disciplines, such as Automatic test pattern generation, Fault coverage and Test set.
In his study, which falls under the umbrella issue of Parallel computing, Cloud computing is strongly linked to Distributed computing.
His research in Embedded system intersects with topics in Data compression, Computer architecture, Software and Memory management.
His research on Sequential logic also deals with topics like
- Retiming and related Dependency graph,
- Set which intersects with area such as Sequence.
His research on Computer hardware often connects related areas such as Scalability.
He most often published in these fields:
- Algorithm (30.25%)
- Parallel computing (26.69%)
- Embedded system (14.95%)
What were the highlights of his more recent work (between 2010-2020)?
- Parallel computing (26.69%)
- Coprocessor (9.96%)
- Distributed computing (9.25%)
In recent papers he was focusing on the following fields of study:
Srimat T. Chakradhar mainly focuses on Parallel computing, Coprocessor, Distributed computing, Scheduling and Operating system.
Srimat T. Chakradhar is interested in CUDA, which is a branch of Parallel computing.
His study on Coprocessor also encompasses disciplines like
- Many core, which have a strong connection to Computation and Application programming interface,
- Xeon Phi, which have a strong connection to System software,
- Pointer and related Speedup.
Srimat T. Chakradhar interconnects Cloud computing, End-user computing and Key in the investigation of issues within Distributed computing.
His work in Key addresses issues such as Algorithm design, which are connected to fields such as Scalability and Computer hardware.
His Software study incorporates themes from Computer architecture and Pipeline.
Between 2010 and 2020, his most popular works were:
- Analysis and characterization of inherent application resilience for approximate computing (320 citations)
- Tarazu: optimizing MapReduce on heterogeneous clusters (221 citations)
- Quality programmable vector processors for approximate computing (200 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Programming language
- Central processing unit
His primary scientific interests are in Distributed computing, Parallel computing, Scheduling, Coprocessor and Xeon.
His Distributed computing research includes elements of Key and Cloud computing.
Srimat T. Chakradhar studies CUDA, a branch of Parallel computing.
His Scheduling research integrates issues from Manycore processor and Computation.
His study explores the link between Coprocessor and topics such as Operating system that cross with problems in Processing core.
Srimat T. Chakradhar usually deals with Xeon and limits it to topics linked to Server and Implementation and Set.
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