What is he best known for?
The fields of study he is best known for:
- Operating system
- Central processing unit
- Programming language
Sang Lyul Min mainly focuses on Parallel computing, Block, Cache, Computer hardware and Cache algorithms.
His Cache research incorporates themes from Reduced instruction set computing and Worst-case execution time.
Sang Lyul Min interconnects Controller and Process in the investigation of issues within Computer hardware.
His Cache algorithms study combines topics from a wide range of disciplines, such as Disk buffer and File system.
His research investigates the connection between Flash memory and topics such as Non-volatile memory that intersect with issues in CompactFlash, Embedded system, Host, Memory architecture and Flash memory emulator.
His CPU cache research focuses on Real-time operating system and how it relates to Processor scheduling, Preemption and Linear programming.
His most cited work include:
- A space-efficient flash translation layer for CompactFlash systems (829 citations)
- LRFU: a spectrum of policies that subsumes the least recently used and least frequently used policies (472 citations)
- Analysis of cache-related preemption delay in fixed-priority preemptive scheduling (246 citations)
What are the main themes of his work throughout his whole career to date?
Sang Lyul Min mainly investigates Embedded system, Parallel computing, Computer hardware, Flash memory and Cache.
His studies in Embedded system integrate themes in fields like File system, Dynamic voltage scaling, Memory management, Paging and Auxiliary memory.
His Parallel computing research is multidisciplinary, relying on both Real-time operating system, Compiler, Static timing analysis and Worst-case execution time.
His work on Computer data storage, Non-volatile memory and Semiconductor memory as part of general Computer hardware study is frequently linked to Buffer, therefore connecting diverse disciplines of science.
Sang Lyul Min combines subjects such as Block and Flash memory emulator, Flash file system, Computer memory with his study of Flash memory.
His studies in CPU cache integrate themes in fields like Scheduling and Preemption.
He most often published in these fields:
- Embedded system (27.13%)
- Parallel computing (27.13%)
- Computer hardware (24.03%)
What were the highlights of his more recent work (between 2009-2019)?
- Embedded system (27.13%)
- Flash memory (22.48%)
- Flash file system (14.73%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Embedded system, Flash memory, Flash file system, Computer hardware and Flash memory emulator.
His Embedded system research integrates issues from Memory management, Demand paging and Paging, Multi-core processor, Operating system.
His research integrates issues of Page table, Block, Scheduling and Logical address in his study of Flash memory.
The study incorporates disciplines such as Zero page and NVDIMM in addition to Block.
Sang Lyul Min interconnects Controller, User device and Parallel computing in the investigation of issues within Computer hardware.
His research related to Scratchpad memory and Cache might be considered part of Parallel computing.
Between 2009 and 2019, his most popular works were:
- Hydra: A Block-Mapped Parallel Flash Memory Solid-State Disk Architecture (85 citations)
- Storage device and user device including the same (83 citations)
- Ozone (O3): An Out-of-Order Flash Memory Controller Architecture (61 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Central processing unit
- Programming language
His primary scientific interests are in Computer hardware, Computer data storage, Flash file system, Embedded system and Flash memory controller.
His Computer hardware study focuses mostly on Flash memory and Flash memory emulator.
His Flash memory research is multidisciplinary, incorporating perspectives in Memory architecture, Random access memory, Non-volatile memory, Computer memory and Non-volatile random-access memory.
His Computer data storage research entails a greater understanding of Operating system.
His studies deal with areas such as Dram, Performance prediction, Real-time computing and Multi-core processor as well as Embedded system.
He combines subjects such as Response time, Quality of service, Factor, Universal memory and Mobile device with his study of Flash memory controller.
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