D-Index & Metrics Best Publications

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Computer Science D-index 36 Citations 4,156 103 World Ranking 7317 National Ranking 3431

Overview

What is he best known for?

The fields of study he is best known for:

  • Operating system
  • Central processing unit
  • Computer network

Saugata Ghose mainly investigates Embedded system, Dram, CAS latency, Universal memory and Reliability. His work carried out in the field of Embedded system brings together such families of science as Workload, Data integrity and SIMPLE. His biological study spans a wide range of topics, including Memory rank and Bandwidth.

His Memory rank study deals with Overhead intersecting with Computer hardware. His research in Bandwidth intersects with topics in Bottleneck, Auxiliary memory, Bus sniffing and Memory bandwidth. As part of the same scientific family, he usually focuses on Reliability, concentrating on Flash memory and intersecting with Real-time computing.

His most cited work include:

  • Understanding Latency Variation in Modern DRAM Chips: Experimental Characterization, Analysis, and Optimization (116 citations)
  • Low-Cost Inter-Linked Subarrays (LISA): Enabling fast inter-subarray data movement in DRAM (115 citations)
  • Read Disturb Errors in MLC NAND Flash Memory: Characterization, Mitigation, and Recovery (107 citations)

What are the main themes of his work throughout his whole career to date?

His primary areas of study are Dram, Embedded system, Flash memory, Latency and Bottleneck. His Dram study combines topics from a wide range of disciplines, such as Memory rank, Reliability engineering and Memory controller. His Embedded system research incorporates themes from Universal memory, CAS latency and Reliability.

His studies in Flash memory integrate themes in fields like Threshold voltage and Error detection and correction. His Bottleneck study integrates concerns from other disciplines, such as Memory bandwidth and Cache. The Memory bandwidth study combines topics in areas such as Scalability, Bandwidth and Conventional memory.

He most often published in these fields:

  • Dram (36.28%)
  • Embedded system (32.74%)
  • Flash memory (14.16%)

What were the highlights of his more recent work (between 2019-2021)?

  • Dram (36.28%)
  • Bottleneck (12.39%)
  • Embedded system (32.74%)

In recent papers he was focusing on the following fields of study:

Saugata Ghose mostly deals with Dram, Bottleneck, Embedded system, Throughput and Efficient energy use. His studies deal with areas such as Cache, Memory bandwidth, Parallel computing and Latency as well as Bottleneck. His Memory bandwidth research includes elements of Data access, Software, Memory footprint and Conventional memory.

His Parallel computing study incorporates themes from Hardware acceleration and Tracing. His studies in Embedded system integrate themes in fields like Scalability and Row. His Overhead research is multidisciplinary, relying on both Computer hardware, Control unit, Column, Speedup and SIMD.

Between 2019 and 2021, his most popular works were:

  • Accelerating Genome Analysis: A Primer on an Ongoing Journey (14 citations)
  • A Modern Primer on Processing in Memory. (9 citations)
  • FIGARO: Improving System Performance via Fine-Grained In-DRAM Data Relocation and Caching (9 citations)

In his most recent research, the most cited papers focused on:

  • Operating system
  • Central processing unit
  • Computer network

The scientist’s investigation covers issues in Genomics, Reference genome, Parallel computing, Bottleneck and Dram. His Genomics investigation overlaps with other disciplines such as Organism, Pipeline, Primer, Computational biology and Genome sequence analysis. Reference genome is intertwined with Approximate string matching, Edit distance and Genetic variation in his research.

His work on Cache as part of general Parallel computing research is frequently linked to Locality, bridging the gap between disciplines. His study on Bottleneck is covered under Embedded system. His research ties Scalability and Dram together.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Error Characterization, Mitigation, and Recovery in Flash-Memory-Based Solid-State Drives

Yu Cai;Saugata Ghose;Erich F. Haratsch;Yixin Luo.
Proceedings of the IEEE (2017)

196 Citations

Read Disturb Errors in MLC NAND Flash Memory: Characterization, Mitigation, and Recovery

Yu Cai;Yixin Luo;Saugata Ghose;Onur Mutlu.
dependable systems and networks (2015)

186 Citations

Google Workloads for Consumer Devices: Mitigating Data Movement Bottlenecks

Amirali Boroumand;Saugata Ghose;Youngsok Kim;Rachata Ausavarungnirun.
architectural support for programming languages and operating systems (2018)

181 Citations

Understanding Latency Variation in Modern DRAM Chips: Experimental Characterization, Analysis, and Optimization

Kevin K. Chang;Abhijith Kashyap;Hasan Hassan;Saugata Ghose.
measurement and modeling of computer systems (2016)

176 Citations

Low-Cost Inter-Linked Subarrays (LISA): Enabling fast inter-subarray data movement in DRAM

Kevin K. Chang;Prashant J. Nair;Donghyuk Lee;Saugata Ghose.
high-performance computer architecture (2016)

175 Citations

Accelerating pointer chasing in 3D-stacked memory: Challenges, mechanisms, evaluation

Kevin Hsieh;Samira Khan;Nandita Vijaykumar;Kevin K. Chang.
international conference on computer design (2016)

167 Citations

LazyPIM: An Efficient Cache Coherence Mechanism for Processing-in-Memory

Amirali Boroumand;Saugata Ghose;Minesh Patel;Hasan Hassan.
IEEE Computer Architecture Letters (2017)

152 Citations

Understanding Reduced-Voltage Operation in Modern DRAM Devices: Experimental Characterization, Analysis, and Mechanisms

Kevin K. Chang;Abdullah Giray Yağlıkçı;Saugata Ghose;Aditya Agrawal.
measurement and modeling of computer systems (2017)

149 Citations

Simultaneous Multi-Layer Access: Improving 3D-Stacked Memory Bandwidth at Low Cost

Donghyuk Lee;Saugata Ghose;Gennady Pekhimenko;Samira Khan.
ACM Transactions on Architecture and Code Optimization (2016)

143 Citations

Vulnerabilities in MLC NAND Flash Memory Programming: Experimental Analysis, Exploits, and Mitigation Techniques

Yu Cai;Saugata Ghose;Yixin Luo;Yixin Luo;Ken Mai.
high-performance computer architecture (2017)

122 Citations

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