H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 59 Citations 11,940 250 World Ranking 1693 National Ranking 931

Research.com Recognitions

Awards & Achievements

2001 - IEEE Fellow For contributions to the dependability and performance evaluation of Multiprocessor Interconnection Networks.

Overview

What is she best known for?

The fields of study she is best known for:

  • Operating system
  • Computer network
  • Central processing unit

Chita R. Das mostly deals with Embedded system, Computer network, Network on a chip, Distributed computing and Parallel computing. Her Embedded system study integrates concerns from other disciplines, such as Scalability, Cache, Energy consumption, Exploit and System recovery. Her Computer network study frequently draws connections between adjacent fields such as Wireless mesh network.

Her Network on a chip research includes themes of Network packet, Throughput, Router, Fault tolerance and System on a chip. Chita R. Das has researched Distributed computing in several fields, including Mobile ad hoc network, Workload and Processor scheduling. The Parallel computing study combines topics in areas such as Static memory allocation, Scheduling, Thread and General-purpose computing on graphics processing units.

Her most cited work include:

  • Towards characterizing cloud backend workloads: insights from Google compute clusters (326 citations)
  • ViChaR: A Dynamic Virtual Channel Regulator for Network-on-Chip Routers (256 citations)
  • A novel dimensionally-decomposed router for on-chip communication in 3D architectures (240 citations)

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

Her primary scientific interests are in Computer network, Distributed computing, Parallel computing, Scheduling and Embedded system. Her work on Wireless ad hoc network expands to the thematically related Computer network. Chita R. Das usually deals with Distributed computing and limits it to topics linked to Server and Shared resource.

The concepts of her Parallel computing study are interwoven with issues in Scheme and Queueing theory. The study incorporates disciplines such as Scalability, Latency, Energy consumption, Efficient energy use and Multi-core processor in addition to Embedded system. Her Router study combines topics in areas such as Throughput, Interconnection and Network on a chip.

She most often published in these fields:

  • Computer network (33.65%)
  • Distributed computing (31.76%)
  • Parallel computing (27.67%)

What were the highlights of her more recent work (between 2013-2021)?

  • Parallel computing (27.67%)
  • Embedded system (14.78%)
  • Scheduling (16.67%)

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

Chita R. Das focuses on Parallel computing, Embedded system, Scheduling, Distributed computing and Cache. Her Parallel computing research is multidisciplinary, relying on both Bottleneck, Interleaved memory and General-purpose computing on graphics processing units. She interconnects Android, Scalability, Multi-core processor and Central processing unit in the investigation of issues within Embedded system.

Her Scheduling study combines topics from a wide range of disciplines, such as Quality of service, Queue and Server. Chita R. Das has included themes like Workload, Cloud computing, Efficient energy use and Provisioning in her Distributed computing study. Chita R. Das studied Cache and Latency that intersect with Garbage collection.

Between 2013 and 2021, her most popular works were:

  • Scheduling Techniques for GPU Architectures with Processing-In-Memory Capabilities (108 citations)
  • Managing GPU Concurrency in Heterogeneous Architectures (95 citations)
  • A case for core-assisted bottleneck acceleration in GPUs: enabling flexible data compression with assist warps (77 citations)

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

  • Operating system
  • Computer network
  • Central processing unit

Parallel computing, Scheduling, Embedded system, Cache and Latency are her primary areas of study. Her research in Parallel computing intersects with topics in Dram, Queueing theory, Bottleneck, Kernel and General-purpose computing on graphics processing units. The Scheduling study combines topics in areas such as Queue, Cloud computing, Server and Datapath.

Her Embedded system research is multidisciplinary, relying on both Android, Key and Virtual desktop. Her Cache study combines topics from a wide range of disciplines, such as Energy consumption and Video tracking. Computer network is often connected to Distributed computing in her work.

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.

Top Publications

Towards characterizing cloud backend workloads: insights from Google compute clusters

Asit K. Mishra;Joseph L. Hellerstein;Walfredo Cirne;Chita R. Das.
measurement and modeling of computer systems (2010)

466 Citations

ViChaR: A Dynamic Virtual Channel Regulator for Network-on-Chip Routers

Chrysostomos A. Nicopoulos;Dongkook Park;Jongman Kim;N. Vijaykrishnan.
international symposium on microarchitecture (2006)

388 Citations

A novel dimensionally-decomposed router for on-chip communication in 3D architectures

Jongman Kim;Chrysostomos Nicopoulos;Dongkook Park;Reetuparna Das.
international symposium on computer architecture (2007)

364 Citations

A low latency router supporting adaptivity for on-chip interconnects

Jongman Kim;Dongkook Park;T. Theocharides;N. Vijaykrishnan.
design automation conference (2005)

337 Citations

Exploring Fault-Tolerant Network-on-Chip Architectures

D. Park;C. Nicopoulos;J. Kim;N. Vijaykrishnan.
dependable systems and networks (2006)

315 Citations

MIRA: A Multi-layered On-Chip Interconnect Router Architecture

Dongkook Park;Soumya Eachempati;Reetuparna Das;Asit K. Mishra.
international symposium on computer architecture (2008)

308 Citations

Cache revive: architecting volatile STT-RAM caches for enhanced performance in CMPs

Adwait Jog;Asit K. Mishra;Cong Xu;Yuan Xie.
design automation conference (2012)

307 Citations

A Gracefully Degrading and Energy-Efficient Modular Router Architecture for On-Chip Networks

Jongman Kim;Chrysostomos Nicopoulos;Dongkook Park;Vijaykrishnan Narayanan.
international symposium on computer architecture (2006)

300 Citations

Neither more nor less: optimizing thread-level parallelism for GPGPUs

Onur Kayıran;Adwait Jog;Mahmut Taylan Kandemir;Chita Ranjan Das.
international conference on parallel architectures and compilation techniques (2013)

295 Citations

OWL: cooperative thread array aware scheduling techniques for improving GPGPU performance

Adwait Jog;Onur Kayiran;Nachiappan Chidambaram Nachiappan;Asit K. Mishra.
architectural support for programming languages and operating systems (2013)

286 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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