What is he best known for?
The fields of study he is best known for:
- Programming language
- Operating system
- Compiler
David I. August spends much of his time researching Compiler, Parallel computing, Speedup, Instruction set and Software.
His Compiler study is concerned with the larger field of Programming language.
His Parallel computing research integrates issues from Multithreading, Thread and Software pipelining.
The study incorporates disciplines such as Scalability, Computer engineering, Automatic parallelization, Set and Predicate in addition to Speedup.
His Software study integrates concerns from other disciplines, such as Fault tolerance, Reliability engineering, Computer architecture and Fault detection and isolation.
His Software fault tolerance research includes elements of Swift, Redundancy, Embedded system and Fault coverage.
His most cited work include:
- SWIFT: Software Implemented Fault Tolerance (573 citations)
- Automatic Thread Extraction with Decoupled Software Pipelining (257 citations)
- RIFLE: An Architectural Framework for User-Centric Information-Flow Security (228 citations)
What are the main themes of his work throughout his whole career to date?
David I. August mainly focuses on Parallel computing, Compiler, Speedup, Software and Programming language.
David I. August has included themes like Multithreading, Automatic parallelization and Software pipelining in his Parallel computing study.
His study on Compiler also encompasses disciplines like
- Thread and related Multiprocessing,
- Control flow which intersects with area such as Dataflow.
As part of the same scientific family, David I. August usually focuses on Speedup, concentrating on Set and intersecting with Complex system.
His Software research also works with subjects such as
- Fault tolerance, Software fault tolerance, Transient and Overhead most often made with reference to Embedded system,
- Computer architecture that intertwine with fields like Software engineering.
David I. August focuses mostly in the field of Programming language, narrowing it down to matters related to Code and, in some cases, Program analysis.
He most often published in these fields:
- Parallel computing (45.31%)
- Compiler (36.72%)
- Speedup (20.31%)
What were the highlights of his more recent work (between 2012-2021)?
- Speedup (20.31%)
- Parallel computing (45.31%)
- Software (17.97%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Speedup, Parallel computing, Software, Automatic parallelization and Compiler.
His research in Speedup intersects with topics in Semantics, Data structure, Programming paradigm and Partial evaluation.
His work deals with themes such as Pipeline and Key, which intersect with Parallel computing.
David I. August combines subjects such as Computer security, SIMPLE, Software security assurance and Embedded system with his study of Software.
His study on Automatic parallelization also encompasses disciplines like
- Runtime library which connect with Instruction set, Multithreading, Task parallelism and Bottleneck,
- Multi-core processor that connect with fields like Programmer and Scripting language.
His studies deal with areas such as Transactional memory, Computer hardware, Thread and Speculative multithreading as well as Compiler.
Between 2012 and 2021, his most popular works were:
- Automatically exploiting cross-invocation parallelism using runtime information (28 citations)
- AsmDB: understanding and mitigating front-end stalls in warehouse-scale computers (17 citations)
- CGPA: Coarse-Grained Pipelined Accelerators (17 citations)
In his most recent research, the most cited papers focused on:
- Programming language
- Operating system
- Central processing unit
His scientific interests lie mostly in Parallel computing, Speedup, Pipeline, Optimizing compiler and Compiler.
His work on Multi-core processor as part of general Parallel computing study is frequently connected to Energy consumption, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them.
His Speedup research incorporates themes from Window, Algorithm, LOOP and Partial evaluation.
His study in Pipeline is interdisciplinary in nature, drawing from both Parallelism, Out-of-order execution, Benchmark, Superscalar and Computation.
His Optimizing compiler research is multidisciplinary, relying on both Theoretical computer science, Dependence analysis, Construct, Strongly connected component and Directed acyclic graph.
While the research belongs to areas of Compiler, David I. August spends his time largely on the problem of Multithreading, intersecting his research to questions surrounding Scalability.
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