What is he best known for?
The fields of study he is best known for:
- Operating system
- Central processing unit
- Electrical engineering
Alper Buyuktosunoglu focuses on Embedded system, Queue, Microarchitecture, Real-time computing and Efficient energy use.
The concepts of his Embedded system study are interwoven with issues in Power management, Layer, Control unit and Power gating.
The Power management study combines topics in areas such as Reliability engineering, Frequency scaling, Voltage and Firmware.
His research in Microarchitecture intersects with topics in Dynamic demand, Overhead and Adaptation.
His Real-time computing study combines topics in areas such as Voltage droop and Chip.
He interconnects Computer hardware and Distributed computing in the investigation of issues within Efficient energy use.
His most cited work include:
- An Analysis of Efficient Multi-Core Global Power Management Policies: Maximizing Performance for a Given Power Budget (566 citations)
- Power-aware microarchitecture: design and modeling challenges for next-generation microprocessors (434 citations)
- Memory hierarchy reconfiguration for energy and performance in general-purpose processor architectures (383 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Embedded system, Chip, Power management, Computer hardware and Electronic engineering.
Microarchitecture is the focus of his Embedded system research.
His studies in Microarchitecture integrate themes in fields like Computer architecture and Key.
Alper Buyuktosunoglu works mostly in the field of Power management, limiting it down to topics relating to Workload and, in certain cases, Reliability engineering, as a part of the same area of interest.
His biological study spans a wide range of topics, including Component and Cache.
The various areas that Alper Buyuktosunoglu examines in his Electronic engineering study include Integrated circuit, Microprocessor, Three-dimensional integrated circuit, Voltage and Electrical engineering.
He most often published in these fields:
- Embedded system (28.57%)
- Chip (15.38%)
- Power management (14.84%)
What were the highlights of his more recent work (between 2018-2021)?
- Computer hardware (14.29%)
- Cache (8.24%)
- Distributed computing (7.69%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Computer hardware, Cache, Distributed computing, Reliability and Chip.
His work carried out in the field of Computer hardware brings together such families of science as Multi-core processor and Component.
In general Cache study, his work on Cache pollution often relates to the realm of Data security, thereby connecting several areas of interest.
His Reliability research incorporates themes from Reliability engineering, Resilience, Convergence, Voltage and Key.
His studies deal with areas such as Scheduling and Efficient energy use as well as Chip.
The study incorporates disciplines such as System on a chip and Embedded system in addition to Thread.
Between 2018 and 2021, his most popular works were:
- Resilient Low Voltage Accelerators for High Energy Efficiency (15 citations)
- Asymmetric Resilience: Exploiting Task-Level Idempotency for Transient Error Recovery in Accelerator-Based Systems (7 citations)
- Data Compression Accelerator on IBM POWER9 and z15 Processors : Industrial Product (3 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Central processing unit
- Electrical engineering
Alper Buyuktosunoglu mainly investigates Reliability engineering, Chip, Fault, Component and Speedup.
His Reliability engineering research is multidisciplinary, relying on both Scalability, Built-in self-test, Power management, Critical path method and Reliability.
His research integrates issues of Scheduling and Distributed computing in his study of Chip.
His Fault study integrates concerns from other disciplines, such as Event, Computer hardware, Executable and Vulnerability.
His Component study incorporates themes from Block and Cache, Parallel computing.
His Speedup research integrates issues from Hash function and Data compression, Lossless compression.
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