What is he best known for?
The fields of study he is best known for:
- Operating system
- Programming language
- Central processing unit
Guang R. Gao mostly deals with Parallel computing, Scheduling, Dataflow, Multithreading and Execution model.
His work deals with themes such as Software, Compiler, Software pipelining, Register allocation and Computation, which intersect with Parallel computing.
He interconnects Schedule and Instruction scheduling in the investigation of issues within Software pipelining.
His work in Scheduling addresses issues such as Linear programming, which are connected to fields such as Job shop scheduling.
His study in Dataflow is interdisciplinary in nature, drawing from both Signal programming, Computer architecture, Stream processing and Programming paradigm.
His work investigates the relationship between Execution model and topics such as Reactive programming that intersect with problems in Dynamic programming, Asynchronous communication, Parallel algorithm and Parallel programming model.
His most cited work include:
- TROLL--tandem repeat occurrence locator. (183 citations)
- An improved hidden Markov model for transmembrane protein detection and topology prediction and its applications to complete genomes (153 citations)
- Collective Loop Fusion for Array Contraction (116 citations)
What are the main themes of his work throughout his whole career to date?
Guang R. Gao mainly investigates Parallel computing, Compiler, Computer architecture, Distributed computing and Software pipelining.
He studied Parallel computing and Multithreading that intersect with Multiprocessing.
His Compiler study deals with the bigger picture of Programming language.
Guang R. Gao regularly ties together related areas like Cellular architecture in his Computer architecture studies.
As a member of one scientific family, he mostly works in the field of Software pipelining, focusing on Register allocation and, on occasion, Processor register.
Guang R. Gao has researched Execution model in several fields, including Speedup and Runtime system.
He most often published in these fields:
- Parallel computing (55.92%)
- Compiler (16.71%)
- Computer architecture (14.39%)
What were the highlights of his more recent work (between 2010-2021)?
- Parallel computing (55.92%)
- Distributed computing (14.15%)
- Execution model (10.44%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Parallel computing, Distributed computing, Execution model, Dataflow and Scheduling.
Guang R. Gao is interested in Memory hierarchy, which is a branch of Parallel computing.
His Runtime system study in the realm of Distributed computing interacts with subjects such as Exploit.
His Execution model study incorporates themes from Breadth-first search, Instruction-level parallelism and Systems architecture.
His Dataflow study integrates concerns from other disciplines, such as Computer cluster, Computer architecture, Speedup, Software pipelining and Programming paradigm.
In general Scheduling, his work in Dynamic priority scheduling is often linked to Synchronization linking many areas of study.
Between 2010 and 2021, his most popular works were:
- Using a "codelet" program execution model for exascale machines: position paper (80 citations)
- TERAFLUX: Harnessing dataflow in next generation teradevices (49 citations)
- Runspace method, system and apparatus (40 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Programming language
- Central processing unit
Guang R. Gao mostly deals with Parallel computing, Distributed computing, Scheduling, Dataflow and Computer architecture.
Guang R. Gao studies Memory hierarchy which is a part of Parallel computing.
His Distributed computing research incorporates themes from Scalability, Efficient energy use and Data processing.
Many of his research projects under Scheduling are closely connected to Synchronization with Synchronization, tying the diverse disciplines of science together.
Guang R. Gao has researched Dataflow in several fields, including Execution model and Programming paradigm.
His work in Computer architecture addresses subjects such as Software, which are connected to disciplines such as Synchronization, Systems architecture, Giga-, Tera- and Position paper.
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