What is he best known for?
The fields of study he is best known for:
- Operating system
- Programming language
- Central processing unit
Ali-Reza Adl-Tabatabai focuses on Transactional memory, Software transactional memory, Operating system, Parallel computing and Database transaction.
His study with Transactional memory involves better knowledge in Programming language.
His Software transactional memory research integrates issues from Concurrent computing, Transaction processing, Concurrency control and Concurrency.
His research investigates the connection between Operating system and topics such as Computer architecture that intersect with problems in Debugging, Instrumentation and Instruction set.
His study looks at the intersection of Parallel computing and topics like Thread with Speculative execution, Isolation and Input/output.
Ali-Reza Adl-Tabatabai has included themes like Computer hardware and State in his Database transaction study.
His most cited work include:
- McRT-STM: a high performance software transactional memory system for a multi-core runtime (480 citations)
- Compiler and runtime support for efficient software transactional memory (280 citations)
- Fast, effective code generation in a just-in-time Java compiler (199 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Transactional memory, Software transactional memory, Parallel computing, Operating system and Database transaction.
His Transactional memory study contributes to a more complete understanding of Programming language.
His studies deal with areas such as Concurrent computing, Commitment ordering, Memory map and Memory management as well as Software transactional memory.
His research combines Thread and Parallel computing.
His work carried out in the field of Database transaction brings together such families of science as Commit and State.
As a member of one scientific family, Ali-Reza Adl-Tabatabai mostly works in the field of CPU cache, focusing on Computer hardware and, on occasion, Synchronization.
He most often published in these fields:
- Transactional memory (37.41%)
- Software transactional memory (29.25%)
- Parallel computing (27.21%)
What were the highlights of his more recent work (between 2009-2015)?
- Transactional memory (37.41%)
- Parallel computing (27.21%)
- Operating system (24.49%)
In recent papers he was focusing on the following fields of study:
Transactional memory, Parallel computing, Operating system, Software transactional memory and Atomicity are his primary areas of study.
To a larger extent, he studies Database transaction with the aim of understanding Transactional memory.
The concepts of his Parallel computing study are interwoven with issues in Software, Thread and Central processing unit.
His work on Virtual memory and Page replacement algorithm as part of general Operating system study is frequently connected to Translation lookaside buffer and Page table, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them.
His Software transactional memory research is multidisciplinary, incorporating elements of Non-lock concurrency control, Optimistic concurrency control, Commitment ordering, Multiversion concurrency control and Concurrency control.
His study in Atomicity is interdisciplinary in nature, drawing from both Event, Lock, Debugging and POSIX Threads.
Between 2009 and 2015, his most popular works were:
- Mechanisms to accelerate transactions using buffered stores (116 citations)
- Performing Mode Switching In An Unbounded Transactional Memory (UTM) System (97 citations)
- Hardware acceleration of a write-buffering software transactional memory (63 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Programming language
- Central processing unit
The scientist’s investigation covers issues in Operating system, Transactional memory, Parallel computing, Software transactional memory and Database transaction.
The various areas that he examines in his Transactional memory study include Value, Mode and Transaction processing system.
The Parallel computing study combines topics in areas such as Uniform memory access, Thread and Atomicity.
His Thread research incorporates elements of Distributed shared memory, Registered memory, Bus sniffing and Interleaved memory, Cache-only memory architecture.
His Software transactional memory study incorporates themes from Debugging, Compiler, POSIX Threads and Code.
His work in Database transaction addresses subjects such as CPU cache, which are connected to disciplines such as Win32 Thread Information Block, Distributed transaction and Software.
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