What is he best known for?
The fields of study he is best known for:
- Operating system
- Central processing unit
- Programming language
His scientific interests lie mostly in Flash file system, Flash memory, Embedded system, Computer hardware and Nand flash memory.
His biological study spans a wide range of topics, including Overhead, Response time and Parallel computing, Locality of reference, Cache.
Zili Shao has researched Parallel computing in several fields, including Schedule, Application software and Software pipelining.
His Embedded system research is multidisciplinary, incorporating perspectives in Scheduling, Overhead and Operating system.
The Computer hardware study combines topics in areas such as Trie and Metadata.
His work carried out in the field of Nand flash memory brings together such families of science as Garbage collection, Reliability and Memory management.
His most cited work include:
- Regulated Charging of Plug-in Hybrid Electric Vehicles for Minimizing Load Variance in Household Smart Microgrid (175 citations)
- LSM-trie: an LSM-tree-based ultra-large key-value store for small data (114 citations)
- MNFTL: an efficient flash translation layer for MLC NAND flash memory storage systems (97 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Embedded system, Parallel computing, Scheduling, Operating system and Flash file system.
His Embedded system research incorporates themes from Non-volatile memory, Interleaved memory, Memory management and Cache.
His study in Parallel computing is interdisciplinary in nature, drawing from both Loop inversion and Software pipelining.
His Scheduling study combines topics from a wide range of disciplines, such as Digital signal processing and Distributed computing.
His studies in Flash file system integrate themes in fields like Flash memory and Garbage collection.
His work deals with themes such as Nand flash memory, File system and Overhead, which intersect with Flash memory.
He most often published in these fields:
- Embedded system (38.66%)
- Parallel computing (24.91%)
- Scheduling (15.61%)
What were the highlights of his more recent work (between 2017-2021)?
- Embedded system (38.66%)
- Cache (10.78%)
- Flash (7.43%)
In recent papers he was focusing on the following fields of study:
Zili Shao mainly investigates Embedded system, Cache, Flash, Shingled magnetic recording and Flash memory.
With his scientific publications, his incorporates both Embedded system and Device file.
His studies deal with areas such as File system, Latency, Data structure, The Internet and Mobile device as well as Cache.
His Flash memory study integrates concerns from other disciplines, such as Compression ratio, Systems design and Data compression.
The various areas that Zili Shao examines in his Generator matrix study include Resistive random-access memory and Parallel computing.
His study on Memory bandwidth is often connected to Performance improvement as part of broader study in Parallel computing.
Between 2017 and 2021, his most popular works were:
- A Dynamic Neural Network Approach for Efficient Control of Manipulators (24 citations)
- A Novel ReRAM-Based Processing-in-Memory Architecture for Graph Traversal (14 citations)
- DIDACache: An Integration of Device and Application for Flash-based Key-value Caching (11 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Central processing unit
- Programming language
Zili Shao spends much of his time researching Embedded system, Nand flash memory, Memory architecture, Cache and Parallel computing.
His study in the field of Flash memory is also linked to topics like Throughput.
His Nand flash memory research is multidisciplinary, relying on both Video storage, Mobile device and Computer data storage.
His Cache research integrates issues from The Internet, Domain knowledge, Total cost of ownership and Filter.
His Parallel computing research includes themes of Graph traversal and Central processing unit.
In his work, Computer hardware is strongly intertwined with Resistive random-access memory, which is a subfield of Graph traversal.
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