What is he best known for?
The fields of study he is best known for:
- Operating system
- Parallel computing
- Programming language
His primary areas of investigation include Cache coherence, Parallel computing, Cache, Multiprocessing and Shared memory.
His studies in Cache coherence integrate themes in fields like MESI protocol, Memory coherence and MESIF protocol.
He works mostly in the field of Parallel computing, limiting it down to topics relating to Consistency model and, in certain cases, Pipeline.
His study in Cache is interdisciplinary in nature, drawing from both Lottery scheduling, Flow shop scheduling and Priority scheduling.
His Multiprocessing study deals with Computer architecture intersecting with Set, Software and System software.
His study looks at the relationship between Shared memory and fields such as TreadMarks, as well as how they intersect with chemical problems.
His most cited work include:
- The SPLASH-2 programs: characterization and methodological considerations (3467 citations)
- Parallel Computer Architecture: A Hardware/Software Approach (1409 citations)
- Memory consistency and event ordering in scalable shared-memory multiprocessors (1066 citations)
What are the main themes of his work throughout his whole career to date?
Anoop Gupta spends much of his time researching Parallel computing, Multiprocessing, Cache, Cache coherence and Shared memory.
His Parallel computing study incorporates themes from Consistency model and Set.
His Multiprocessing study combines topics from a wide range of disciplines, such as Computer architecture, Computer multitasking, Embedded system, Software and Speedup.
His Cache research integrates issues from Scalability and Distributed computing.
His study looks at the intersection of Distributed computing and topics like Working set with Resource allocation, Application software and Data science.
Anoop Gupta has included themes like MESI protocol, Memory coherence, Directory and MESIF protocol in his Cache coherence study.
He most often published in these fields:
- Parallel computing (53.23%)
- Multiprocessing (35.48%)
- Cache (30.65%)
What were the highlights of his more recent work (between 1994-2018)?
- Parallel computing (53.23%)
- Cache (30.65%)
- Cache coherence (25.81%)
In recent papers he was focusing on the following fields of study:
Anoop Gupta mainly investigates Parallel computing, Cache, Cache coherence, Multiprocessing and Shared memory.
His Parallel computing research incorporates elements of Quadtree, Scheduling and Load balancing.
His Cache coherence research is multidisciplinary, relying on both Granularity, Directory and Benchmark.
Anoop Gupta has researched Multiprocessing in several fields, including System software and Computer architecture.
His research in Shared memory intersects with topics in Software, Resource management, Reliability and Containment.
Working set, Data science, TreadMarks and Application software is closely connected to Distributed computing in his research, which is encompassed under the umbrella topic of CPU cache.
Between 1994 and 2018, his most popular works were:
- The SPLASH-2 programs: characterization and methodological considerations (3467 citations)
- Parallel Computer Architecture: A Hardware/Software Approach (1409 citations)
- Operating system support for improving data locality on CC-NUMA compute servers (251 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Parallel computing
- Programming language
Anoop Gupta mostly deals with Cache coherence, CPU cache, Multiprocessing, Shared memory and Cellular architecture.
The concepts of his Cache coherence study are interwoven with issues in Page cache and Distributed computing.
His work is dedicated to discovering how Page cache, Memory architecture are connected with Operating system, Cache coloring, Non-uniform memory access and Cache-only memory architecture and other disciplines.
His work carried out in the field of Distributed computing brings together such families of science as MESI protocol, TreadMarks, Working set and Data science.
His studies deal with areas such as Memory coherence, Resource allocation, MSI protocol, Application software and MESIF protocol as well as Data science.
His work deals with themes such as Computer architecture and Software, System software, which intersect with Multiprocessing.
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