What is he best known for?
The fields of study he is best known for:
- Operating system
- Programming language
- Computer network
His main research concerns Distributed computing, Software transactional memory, Parallel computing, Transactional memory and Data structure.
His Distributed computing research incorporates themes from Exploit, Linearizability, Queue and Multi-core processor.
The Software transactional memory study combines topics in areas such as Atomicity and Operating system, Concurrency.
His Parallel computing research is multidisciplinary, incorporating elements of Synchronization and Algorithm.
His Transactional memory study is focused on Programming language in general.
His work on Non-blocking algorithm as part of his general Data structure study is frequently connected to Synchronization, thereby bridging the divide between different branches of science.
His most cited work include:
- Linearizability: a correctness condition for concurrent objects (2669 citations)
- Transactional memory: architectural support for lock-free data structures (2172 citations)
- Wait-free synchronization (1678 citations)
What are the main themes of his work throughout his whole career to date?
Maurice Herlihy spends much of his time researching Distributed computing, Transactional memory, Parallel computing, Theoretical computer science and Data structure.
He studied Distributed computing and Shared memory that intersect with Asynchronous communication and Distributed shared memory.
His work on Software transactional memory as part of general Transactional memory research is often related to Transactional leadership, thus linking different fields of science.
His work in Theoretical computer science addresses issues such as Set, which are connected to fields such as Upper and lower bounds.
Maurice Herlihy works mostly in the field of Data structure, limiting it down to topics relating to Implementation and, in certain cases, Software, as a part of the same area of interest.
His Concurrent data structure study combines topics from a wide range of disciplines, such as Linearizability and Hazard pointer.
He most often published in these fields:
- Distributed computing (32.77%)
- Transactional memory (18.64%)
- Parallel computing (17.23%)
What were the highlights of his more recent work (between 2013-2021)?
- Distributed computing (32.77%)
- Transactional memory (18.64%)
- Concurrent data structure (8.76%)
In recent papers he was focusing on the following fields of study:
Maurice Herlihy spends much of his time researching Distributed computing, Transactional memory, Concurrent data structure, Data structure and Theoretical computer science.
His study in Distributed computing is interdisciplinary in nature, drawing from both Task, Process and Shared memory.
His Transactional memory research includes elements of Scheduling, Embedded system and Parallel computing.
His work carried out in the field of Concurrent data structure brings together such families of science as Hazard pointer, Memory management and Software transactional memory.
His specific area of interest is Data structure, where Maurice Herlihy studies Non-blocking algorithm.
His biological study spans a wide range of topics, including Computation and Combinatorial topology.
Between 2013 and 2021, his most popular works were:
- Atomic Cross-Chain Swaps (106 citations)
- Adding Concurrency to Smart Contracts (75 citations)
- StackTrack: an automated transactional approach to concurrent memory reclamation (47 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Programming language
- Computer network
His primary scientific interests are in Distributed computing, Data structure, Parallel computing, Concurrent data structure and Computer security.
His Quantum Byzantine agreement study, which is part of a larger body of work in Distributed computing, is frequently linked to Perspective, bridging the gap between disciplines.
His Data structure study combines topics in areas such as Queue and Pointer.
His Parallel computing research is multidisciplinary, incorporating perspectives in Trace scheduling, Scalability, Thread, Exploit and Scheduling.
Maurice Herlihy has included themes like Hazard pointer, x86 and Uniform memory access in his Concurrent data structure study.
His work investigates the relationship between Computer security and topics such as Database transaction that intersect with problems in Hypercube.
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