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, Thread, Multithreading, Stuck-at fault and Electronic engineering.
His biological study spans a wide range of topics, including Operating system and Speculative multithreading.
His Thread research is multidisciplinary, incorporating perspectives in Data processing system, Computer network, Instruction set and Instruction prefetch.
As a part of the same scientific family, John Shen mostly works in the field of Instruction set, focusing on Serialization and, on occasion, Microprocessor and Microarchitecture.
In Multithreading, John Shen works on issues like Speedup, which are connected to Multiprocessing.
His Stuck-at fault study integrates concerns from other disciplines, such as Reliability engineering, Very-large-scale integration and Fault model.
His most cited work include:
- Value locality and load value prediction (584 citations)
- Die Stacking (3D) Microarchitecture (553 citations)
- Inductive Fault Analysis of MOS Integrated Circuits (455 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Parallel computing, Thread, Operating system, Computer architecture and Instruction set.
In general Parallel computing, his work in Cache, Speedup and Microarchitecture is often linked to Precomputation and TRACE linking many areas of study.
His study in Microarchitecture is interdisciplinary in nature, drawing from both Processor design and PowerPC.
His Thread research is multidisciplinary, relying on both Multiprocessing and Instruction prefetch.
His research investigates the connection with Operating system and areas like Embedded system which intersect with concerns in Mechanism.
He has researched Instruction set in several fields, including Microprocessor and Resource.
He most often published in these fields:
- Parallel computing (35.12%)
- Thread (20.24%)
- Operating system (17.26%)
What were the highlights of his more recent work (between 2011-2021)?
- Artificial intelligence (4.17%)
- Instruction set (11.90%)
- Operating system (17.26%)
In recent papers he was focusing on the following fields of study:
John Shen mainly focuses on Artificial intelligence, Instruction set, Operating system, Neuromorphic engineering and Artificial neural network.
His studies in Instruction set integrate themes in fields like Multithreading, Microprocessor and Shared resource.
His studies deal with areas such as Software and Asynchronous communication as well as Microprocessor.
His study of Thread is a part of Operating system.
His Thread research is multidisciplinary, incorporating perspectives in CPU cache, Cache coherence, Multiprocessing, Queue and Scheduling.
His research in Neuromorphic engineering intersects with topics in Computer architecture, Process, CMOS and Standard cell.
Between 2011 and 2021, his most popular works were:
- Method and system to provide user-level multithreading (57 citations)
- Instruction set architecture-based inter-sequencer communications with a heterogeneous resource (35 citations)
- Apparatus, system, and method for persistent user-level thread (18 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Central processing unit
- Programming language
His main research concerns Instruction set, Computer hardware, Pooling, Surface wave and Wave propagation.
His work deals with themes such as Multithreading, Thread, Win32 Thread Information Block, Computer architecture and Temporal multithreading, which intersect with Instruction set.
His Computer hardware study integrates concerns from other disciplines, such as Context switch, Interface, Operating system and Resource.
His Pooling research integrates issues from Theoretical computer science and Human behavior.
His Surface wave study spans across into fields like Acoustics, Capacitive sensing, Dispersion, Tracking system and SwIPe.
His Wave propagation study spans across into areas like Trajectory, Tracking, Vibration, Structural vibration and Excitation.
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