H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Electronics and Electrical Engineering H-index 59 Citations 13,885 314 World Ranking 591 National Ranking 296
Computer Science H-index 73 Citations 21,927 663 World Ranking 675 National Ranking 410

Research.com Recognitions

Awards & Achievements

2016 - IEEE Fellow For contributions to compiler support for performance and energy optimization of computer architectures


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 Embedded system, Parallel computing, Energy consumption, Cache and Compiler. His research in Embedded system is mostly focused on Memory architecture. In his research, Energy conservation is intimately related to Dram, which falls under the overarching field of Memory architecture.

Mahmut Kandemir has researched Parallel computing in several fields, including Scheduling, Thread and Loop nest optimization. His Energy consumption research incorporates themes from Optimizing compiler, Process, Distributed computing and Leakage. His Compiler research also works with subjects such as

  • Computer architecture and related Chip and Set,
  • Data parallelism most often made with reference to Data access.

His most cited work include:

  • Leakage current: Moore's law meets static power (972 citations)
  • The design and use of simplepower: a cycle-accurate energy estimation tool (438 citations)
  • DRPM: dynamic speed control for power management in server class disks (386 citations)

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

Mahmut Kandemir mainly investigates Parallel computing, Embedded system, Compiler, Cache and Energy consumption. His research in Parallel computing tackles topics such as Loop nest optimization which are related to areas like Loop interchange. In his study, Distributed memory is strongly linked to Memory management, which falls under the umbrella field of Embedded system.

His work deals with themes such as Scheme, Data access, Computer architecture and Set, which intersect with Compiler. Many of his studies on Cache apply to Distributed computing as well. His Energy consumption study integrates concerns from other disciplines, such as Real-time computing, Efficient energy use and Integer programming.

He most often published in these fields:

  • Parallel computing (42.69%)
  • Embedded system (30.13%)
  • Compiler (25.26%)

What were the highlights of his more recent work (between 2014-2021)?

  • Parallel computing (42.69%)
  • Embedded system (30.13%)
  • Cache (23.72%)

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

Mahmut Kandemir mainly focuses on Parallel computing, Embedded system, Cache, Scheduling and Software. He has included themes like Latency, Compiler, System on a chip, Interleaved memory and General-purpose computing on graphics processing units in his Parallel computing study. His Embedded system research is multidisciplinary, incorporating perspectives in Scalability and Multi-core processor.

His study in Cache is interdisciplinary in nature, drawing from both Multiprocessing, Overhead, Data access and Static random-access memory. His Scheduling research includes themes of Queue, Provisioning, Distributed computing and Microservices. His research investigates the connection with Software and areas like Idle which intersect with concerns in Memory bandwidth.

Between 2014 and 2021, his most popular works were:

  • Scheduling Techniques for GPU Architectures with Processing-In-Memory Capabilities (108 citations)
  • A case for core-assisted bottleneck acceleration in GPUs: enabling flexible data compression with assist warps (77 citations)
  • Exploiting Inter-Warp Heterogeneity to Improve GPGPU Performance (52 citations)

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

  • Operating system
  • Central processing unit
  • Programming language

Mahmut Kandemir mostly deals with Parallel computing, Embedded system, Cache, Scheduling and Dram. His studies deal with areas such as Kernel, Interleaved memory, Latency and Uniform memory access as well as Parallel computing. In his research, Mahmut Kandemir undertakes multidisciplinary study on Embedded system and Throughput.

His work on Cache algorithms as part of general Cache study is frequently linked to Video decoder and Performance improvement, therefore connecting diverse disciplines of science. His work carried out in the field of Scheduling brings together such families of science as Quality of service, Dynamic demand, Queue and Distributed computing. His Bandwidth research focuses on Schedule and how it relates to Energy consumption and Reduction.

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

Leakage current: Moore's law meets static power

N.S. Kim;T. Austin;D. Baauw;T. Mudge.
IEEE Computer (2003)

1471 Citations

The design and use of simplepower: a cycle-accurate energy estimation tool

W. Ye;N. Vijaykrishnan;M. Kandemir;M. J. Irwin.
design automation conference (2000)

669 Citations

DRPM: dynamic speed control for power management in server class disks

Sudhanva Gurumurthi;Anand Sivasubramaniam;Mahmut Kandemir;Hubertus Franke.
international symposium on computer architecture (2003)

554 Citations

Design and Management of 3D Chip Multiprocessors Using Network-in-Memory

Feihui Li;Chrysostomos Nicopoulos;Thomas Richardson;Yuan Xie.
international symposium on computer architecture (2006)

522 Citations

Evaluating STT-RAM as an energy-efficient main memory alternative

Emre Kultursay;Mahmut Kandemir;Anand Sivasubramaniam;Onur Mutlu.
international symposium on performance analysis of systems and software (2013)

424 Citations

Dynamic management of scratch-pad memory space

M. Kandemir;J. Ramanujam;J. Irwin;N. Vijaykrishnan.
design automation conference (2001)

390 Citations

Energy-driven integrated hardware-software optimizations using SimplePower

N. Vijaykrishnan;M. Kandemir;M. J. Irwin;H. S. Kim.
international symposium on computer architecture (2000)

363 Citations

Fault tolerant algorithms for network-on-chip interconnect

M. Pirretti;G.M. Link;R.R. Brooks;N. Vijaykrishnan.
ieee computer society annual symposium on vlsi (2004)

303 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

Using complete machine simulation for software power estimation: the SoftWatt approach

S. Gurumurthi;A. Sivasubramaniam;M.J. Irwin;N. Vijaykrishnan.
high-performance computer architecture (2002)

293 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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