What is he best known for?
The fields of study he is best known for:
- Operating system
- Central processing unit
- Artificial intelligence
Donghyuk Lee focuses on Dram, Embedded system, CAS latency, Memory rank and Computer hardware.
He combines subjects such as Latency, Memory bandwidth, Parallel computing, Bandwidth and Universal memory with his study of Dram.
The concepts of his Universal memory study are interwoven with issues in Field-programmable gate array, Overhead and Data transmission.
His research integrates issues of Redundancy, Operating system and Error mitigation in his study of Embedded system.
His research investigates the connection between CAS latency and topics such as Bottleneck that intersect with problems in Auxiliary memory.
His Computer hardware study deals with Row intersecting with Memory controller and Multi-channel memory architecture.
His most cited work include:
- Flipping bits in memory without accessing them: an experimental study of DRAM disturbance errors (533 citations)
- A case for exploiting subarray-level parallelism (SALP) in DRAM (207 citations)
- RowClone: fast and energy-efficient in-DRAM bulk data copy and initialization (205 citations)
What are the main themes of his work throughout his whole career to date?
Donghyuk Lee mostly deals with Dram, Artificial intelligence, Embedded system, Computer hardware and Computer vision.
His Dram research includes elements of Latency, Efficient energy use, Memory rank, Universal memory and CAS latency.
His Artificial intelligence research incorporates themes from Terminal, Natural language processing and Pattern recognition.
His Embedded system research incorporates elements of Exploit, Software, Memory controller and Double data rate.
His Computer hardware research includes themes of Memory cell and Parallel computing.
His research in the fields of Image, Object and Background image overlaps with other disciplines such as User input.
He most often published in these fields:
- Dram (36.77%)
- Artificial intelligence (23.87%)
- Embedded system (23.23%)
What were the highlights of his more recent work (between 2017-2021)?
- Dram (36.77%)
- Embedded system (23.23%)
- Parallel computing (11.61%)
In recent papers he was focusing on the following fields of study:
Donghyuk Lee mainly investigates Dram, Embedded system, Parallel computing, Latency and Memory controller.
His Dram research is multidisciplinary, incorporating elements of Serialization, Energy consumption, Reliability engineering, Exploit and Efficient energy use.
His research investigates the link between Efficient energy use and topics such as Cache that cross with problems in CAS latency and Sense amplifier.
His Parallel computing research is multidisciplinary, incorporating perspectives in Convolution, Deep learning and Convolutional neural network.
His Latency study incorporates themes from Computer architecture, Row, Microarchitecture, Dram chip and Bottleneck.
Donghyuk Lee studied Memory controller and Field-programmable gate array that intersect with Double data rate and Interface.
Between 2017 and 2021, his most popular works were:
- GRIM-Filter: Fast seed location filtering in DNA read mapping using processing-in-memory technologies. (69 citations)
- What Your DRAM Power Models Are Not Telling You: Lessons from a Detailed Experimental Study (52 citations)
- Reducing Data Transfer Energy by Exploiting Similarity within a Data Transaction (11 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Central processing unit
- Artificial intelligence
Dram, Parallel computing, Energy consumption, Reliability engineering and Latency are his primary areas of study.
Donghyuk Lee combines topics linked to Microarchitecture with his work on Dram.
The various areas that Donghyuk Lee examines in his Parallel computing study include Multiplication, Column and Convolutional neural network.
His Energy consumption research incorporates elements of CPU cache and Efficient energy use.
His Reliability engineering research incorporates themes from Reliability, Bandwidth and Voltage.
His Latency study combines topics in areas such as Multicore systems, Scheduling, Computer architecture and Serialization.
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