What is he best known for?
The fields of study he is best known for:
- Operating system
- Central processing unit
- Programming language
His primary scientific interests are in Parallel computing, Computer architecture, Instruction set, SIMD and Computer hardware.
His Parallel computing research includes themes of Binary translation and PowerPC.
His Computer architecture study frequently intersects with other fields, such as Application-specific integrated circuit.
His Instruction set research also works with subjects such as
- Multi-core processor, which have a strong connection to Embedded system, Thread and Software,
- Processor design together with Application-specific instruction-set processor.
Michael K. Gschwind has researched SIMD in several fields, including Optimizing compiler, Register file, Arithmetic and Scalar processor.
His work in Memory buffer register and Addressing mode are all subfields of Computer hardware research.
His most cited work include:
- Synergistic Processing in Cell's Multicore Architecture (393 citations)
- Multi-petascale highly efficient parallel supercomputer (385 citations)
- The IBM Blue Gene/Q Compute Chip (227 citations)
What are the main themes of his work throughout his whole career to date?
Michael K. Gschwind focuses on Parallel computing, Computer hardware, Operating system, Arithmetic and Database transaction.
His Parallel computing study frequently draws parallels with other fields, such as Compiler.
His studies in Instruction register and Memory map are all subfields of Computer hardware research.
The Arithmetic study combines topics in areas such as Algorithm and Set.
His study in the fields of Transactional memory, Distributed transaction, Transaction processing system and Transaction processing under the domain of Database transaction overlaps with other disciplines such as Transactional leadership.
His Instruction cycle study incorporates themes from Addressing mode and Minimal instruction set computer.
He most often published in these fields:
- Parallel computing (21.14%)
- Computer hardware (20.83%)
- Operating system (19.60%)
What were the highlights of his more recent work (between 2015-2021)?
- Operating system (19.60%)
- Arithmetic (13.43%)
- Computer hardware (20.83%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Operating system, Arithmetic, Computer hardware, Computer program and Database transaction.
His research brings together the fields of Interrupt and Operating system.
His Arithmetic study also includes fields such as
- Floating point that intertwine with fields like Mode,
- Set that intertwine with fields like Algorithm,
- Rounding which is related to area like Control theory.
His work in Computer hardware addresses subjects such as Fingerprint, which are connected to disciplines such as Embedded system.
In general Database transaction study, his work on Transactional memory and Nested transaction often relates to the realm of Transactional leadership and Prioritization, thereby connecting several areas of interest.
His Transactional memory study frequently involves adjacent topics like Parallel computing.
Between 2015 and 2021, his most popular works were:
- System supporting multiple partitions with differing translation formats (108 citations)
- Instruction to load data up to a dynamically determined memory boundary (23 citations)
- Fingerprint-initiated trace extraction (15 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Central processing unit
- Programming language
Michael K. Gschwind mostly deals with Operating system, Snapshot, Computer hardware, Value and Computer network.
His research investigates the link between Operating system and topics such as Transactional memory that cross with problems in Rollback, Instruction prefetch, Memory operation, Abort and Cache-only memory architecture.
The concepts of his Computer hardware study are interwoven with issues in Fingerprint, Tracking, Software and Incandescent light bulb.
His Value research is multidisciplinary, incorporating elements of Algorithm and Subroutine.
In his study, Block and Translation is inextricably linked to Control, which falls within the broad field of Computer network.
His study connects Nested transaction and Parallel computing.
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