What is he best known for?
The fields of study he is best known for:
- Operating system
- Programming language
- Parallel computing
Brad Calder mainly focuses on Parallel computing, Computer engineering, Compiler, Operating system and Programming language. All of his Parallel computing and Cache pollution, Cache, Smart Cache, Page cache and Cache algorithms investigations are sub-components of the entire Parallel computing study. His Computer engineering study incorporates themes from Pipeline, Real-time computing and Benchmark.
His work investigates the relationship between Pipeline and topics such as Re-order buffer that intersect with problems in Basic block. His work carried out in the field of Compiler brings together such families of science as Program analysis and Subroutine. His Operating system research is multidisciplinary, relying on both Low overhead and Bandwidth.
His most cited work include:
- Automatically characterizing large scale program behavior (1491 citations)
- Erasure coding in windows azure storage (714 citations)
- Windows Azure Storage: a highly available cloud storage service with strong consistency (653 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Parallel computing, Cache, Compiler, Branch predictor and Operating system. Brad Calder has included themes like Multithreading and Thread in his Parallel computing study. His Compiler research incorporates elements of Instruction-level parallelism, Profiling and Code.
His research in Branch predictor intersects with topics in Speculative execution and Computer architecture. His Operating system research focuses on Debugging in particular. He works mostly in the field of Real-time computing, limiting it down to topics relating to Pipeline and, in certain cases, Computer engineering.
He most often published in these fields:
- Parallel computing (44.03%)
- Cache (20.13%)
- Compiler (16.35%)
What were the highlights of his more recent work (between 2005-2014)?
- Parallel computing (44.03%)
- Operating system (12.58%)
- Embedded system (11.95%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Parallel computing, Operating system, Embedded system, Benchmark and Cluster analysis. Brad Calder combines subjects such as Multithreading and Thread with his study of Parallel computing. His Operating system research incorporates themes from Transactional memory, Software transactional memory and Programming language.
His Cluster analysis research integrates issues from Optimizing compiler, Instruction set and Data mining. His study in Optimizing compiler is interdisciplinary in nature, drawing from both Java, Set and Computer engineering. As a part of the same scientific family, he mostly works in the field of Java, focusing on Code generation and, on occasion, Compiler.
Between 2005 and 2014, his most popular works were:
- Erasure coding in windows azure storage (714 citations)
- Windows Azure Storage: a highly available cloud storage service with strong consistency (653 citations)
- Automatically classifying benign and harmful data races using replay analysis (216 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Programming language
- Software
Operating system, Thread, Parallel computing, Focus and Reliability are his primary areas of study. His research in Operating system focuses on subjects like Programming language, which are connected to Commit. His Thread study also includes fields such as
- Cache, which have a strong connection to Data parallelism,
- Shared memory which is related to area like Distributed computing.
His research integrates issues of Profiling and Cluster analysis in his study of Parallel computing. His Focus study which covers Machine learning that intersects with Database and Concurrency. His study in Multithreading is interdisciplinary in nature, drawing from both Memory map, Runahead and Speedup.
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