What is he best known for?
The fields of study he is best known for:
- Operating system
- Central processing unit
- Computer network
Parthasarathy Ranganathan mostly deals with Embedded system, Server, Distributed computing, Operating system and Parallel computing.
His Embedded system research incorporates themes from Scalability, Fault tolerance, Multi-core processor, Computer performance and Efficient energy use.
The Server study combines topics in areas such as Database, Workload, Resource, The Internet and Benchmark.
As a member of one scientific family, Parthasarathy Ranganathan mostly works in the field of Resource, focusing on Power budget and, on occasion, Power management.
His research in Distributed computing intersects with topics in Energy consumption, Real-time computing, Data center, Software and Key.
The Instruction-level parallelism, Multiprocessing, Instruction set and Speedup research he does as part of his general Parallel computing study is frequently linked to other disciplines of science, such as Sequential consistency, therefore creating a link between diverse domains of science.
His most cited work include:
- Single-ISA heterogeneous multi-core architectures: the potential for processor power reduction (707 citations)
- Making scheduling cool: temperature-aware workload placement in data centers (624 citations)
- No "power" struggles: coordinated multi-level power management for the data center (604 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Embedded system, Operating system, Distributed computing, Parallel computing and Server.
His studies in Embedded system integrate themes in fields like Multi-core processor, Efficient energy use and Energy consumption.
His Efficient energy use study integrates concerns from other disciplines, such as Power management, Risk analysis, Energy management and Key.
His study in Software, Virtual machine and Virtualization falls under the purview of Operating system.
His research on Parallel computing frequently connects to adjacent areas such as Interleaved memory.
His biological study spans a wide range of topics, including Workload, Scalability, Resource and Data center.
He most often published in these fields:
- Embedded system (15.87%)
- Operating system (13.89%)
- Distributed computing (13.49%)
What were the highlights of his more recent work (between 2015-2021)?
- Software (11.90%)
- Server (12.70%)
- Cache (9.52%)
In recent papers he was focusing on the following fields of study:
Parthasarathy Ranganathan mainly investigates Software, Server, Cache, Cloud computing and Benchmark.
His Software research incorporates elements of Workload, Password and Distributed computing.
His work carried out in the field of Distributed computing brings together such families of science as Quality of service and Scheduling.
His Server study combines topics from a wide range of disciplines, such as Real-time computing, Microarchitecture and Degradation.
His research in The Internet tackles topics such as Computer cluster which are related to areas like Data center.
His Computer network research includes elements of Efficient energy use and State.
Between 2015 and 2021, his most popular works were:
- Google Workloads for Consumer Devices: Mitigating Data Movement Bottlenecks (100 citations)
- Attack of the killer microseconds (93 citations)
- Learning Memory Access Patterns (46 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 Software, Cloud computing, Distributed computing, Operating system and Workload.
Parthasarathy Ranganathan interconnects Node, Systems design and Artificial intelligence in the investigation of issues within Software.
The study incorporates disciplines such as Information retrieval, Video processing, SIMD and Cache in addition to Cloud computing.
Parthasarathy Ranganathan combines topics linked to Memory hierarchy with his work on Distributed computing.
His work on Password and Total cost of ownership as part of his general Operating system study is frequently connected to Vulnerability and Term, thereby bridging the divide between different branches of science.
His work focuses on many connections between Workload and other disciplines, such as Class, that overlap with his field of interest in Efficient energy use.
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