What is he best known for?
The fields of study he is best known for:
- Operating system
- Programming language
- Central processing unit
His primary scientific interests are in Transactional memory, Distributed computing, Operating system, Software transactional memory and Scalability.
He has researched Transactional memory in several fields, including Memory architecture, Transaction processing, Concurrency, Shared memory and Atomicity.
His Concurrency study which covers Concurrent computing that intersects with Concurrency control.
His Distributed computing research includes themes of Set, Blocking, Scalable distributed, Bottleneck and Provisioning.
He interconnects Heap and Mutual exclusion in the investigation of issues within Software transactional memory.
His Scalability study combines topics in areas such as Wide area network, Multi-core processor, Parallel computing and Commit.
His most cited work include:
- Xen and the art of virtualization (6136 citations)
- The multikernel: a new OS architecture for scalable multicore systems (707 citations)
- Language support for lightweight transactions (703 citations)
What are the main themes of his work throughout his whole career to date?
Tim Harris mainly investigates Transactional memory, Distributed computing, Operating system, Software transactional memory and Programming language.
His study in Transactional memory is interdisciplinary in nature, drawing from both Compiler, Atomicity, Concurrency and Parallel computing.
His studies deal with areas such as Scalability, Concurrency control, Software, Data structure and Implementation as well as Distributed computing.
The various areas that Tim Harris examines in his Operating system study include Hash table, Commit, Database and Garbage collection.
His Software transactional memory study integrates concerns from other disciplines, such as Commitment ordering, Mutual exclusion, Semantics and Shared memory.
His Programming language research focuses on Record locking and how it connects with Lock.
He most often published in these fields:
- Transactional memory (42.77%)
- Distributed computing (29.52%)
- Operating system (28.31%)
What were the highlights of his more recent work (between 2014-2021)?
- Distributed computing (29.52%)
- Parallel computing (22.89%)
- Operating system (28.31%)
In recent papers he was focusing on the following fields of study:
Tim Harris focuses on Distributed computing, Parallel computing, Operating system, Scalability and Runtime system.
The study incorporates disciplines such as Provisioning, Code, Distributed transaction and Computation in addition to Distributed computing.
His Parallel computing study incorporates themes from Workload, Scheduling, Thread and Latency.
His Operating system research incorporates elements of Dram, Commit and Domain.
His Scalability research is multidisciplinary, incorporating elements of Snapshot isolation, System administrator, Distributed database and Benchmark.
His study on Runtime system also encompasses disciplines like
- Java which is related to area like Concurrency, Haskell, Software transactional memory and High-level programming language,
- Garbage collection that intertwine with fields like SPARK and Managed code.
Between 2014 and 2021, his most popular works were:
- The end of a myth: distributed transactions can scale (70 citations)
- Trash day: coordinating garbage collection in distributed systems (52 citations)
- Persistent memcached: bringing legacy code to byte-addressable persistent memory (39 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Programming language
- Central processing unit
Tim Harris mostly deals with Operating system, Distributed computing, Workload, Dram and Runtime system.
In the field of Operating system, his study on Cache overlaps with subjects such as Critical path method.
His study in the field of Distributed database is also linked to topics like Function.
His work carried out in the field of Workload brings together such families of science as Commodity hardware, Analytics, Thread and Embedded system.
His Dram research is multidisciplinary, relying on both Legacy code, Byte, State and Porting.
His Runtime system study incorporates themes from Java, SPARK, Managed code and Garbage collection.
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