Instrumentation, Parallel computing, Compiler, Application software and Programming language are his primary areas of study. His Instrumentation research integrates issues from Embedded system and Systems engineering. The study incorporates disciplines such as Data mining, Data collection and Search algorithm in addition to Parallel computing.
His Application software research includes themes of Computer architecture, Data structure and Programmer. His work investigates the relationship between Programming language and topics such as Code that intersect with problems in Alpha, Software metric, x86 and Message passing. His research integrates issues of Class, Feature, Function and SIMPLE in his study of Operating system.
His primary areas of investigation include Parallel computing, Distributed computing, Instrumentation, Operating system and Computer engineering. Jeffrey K. Hollingsworth has researched Parallel computing in several fields, including Scalability, Profiling, Code, Computation and Server. Jeffrey K. Hollingsworth has included themes like Scheduling and Real-time computing in his Distributed computing study.
His Real-time computing research is multidisciplinary, relying on both Performance tuning, Software and Process. His Instrumentation research includes elements of Computer architecture, Overhead and Feature. Data collection is closely connected to Embedded system in his research, which is encompassed under the umbrella topic of Operating system.
The scientist’s investigation covers issues in Parallel computing, Computation, Code, Computer architecture and Database-centric architecture. The Parallel computing study combines topics in areas such as Key and Reduction. Jeffrey K. Hollingsworth works mostly in the field of Code, limiting it down to concerns involving Parameter space and, occasionally, Scalability and Asynchronous communication.
His study looks at the relationship between Computer architecture and topics such as Data structure, which overlap with Profiling, Single node, SIMPLE and Computer hardware. The various areas that he examines in his Floating point study include Program analysis and Instrumentation. He undertakes multidisciplinary investigations into Instrumentation and Gaussian elimination in his work.
His primary areas of study are Parallel computing, Computation, Extended precision, Floating point and Code. His Parallel computing study combines topics in areas such as Key and Reduction. His Computation research includes themes of Petascale computing, Supercomputer and Computer architecture.
His Extended precision research includes elements of Program analysis, Instrumentation and Memory bandwidth. His study on Code also encompasses disciplines like
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
The Paradyn parallel performance measurement tool
B.P. Miller;M.D. Callaghan;J.M. Cargille;J.K. Hollingsworth.
IEEE Computer (1995)
An API for Runtime Code Patching
Bryan Buck;Jeffrey K. Hollingsworth.
ieee international conference on high performance computing data and analytics (2000)
Instrumentation and measurement
Jeffrey K. Hollingsworth;Bart Miller.
Journal of Grid Computing (1998)
Active Harmony: Towards Automated Performance Tuning
C. Tapus;I-Hsin Chung;J.K. Hollingsworth.
conference on high performance computing (supercomputing) (2002)
A scalable auto-tuning framework for compiler optimization
Ananta Tiwari;Chun Chen;Jacqueline Chame;Mary Hall.
international parallel and distributed processing symposium (2009)
IPS-2: the second generation of a parallel program measurement system
B.P. Miller;M. Clark;J. Hollingsworth;S. Kierstead.
IEEE Transactions on Parallel and Distributed Systems (1990)
Dynamic program instrumentation for scalable performance tools
J.K. Hollingsworth;B.P. Miller;J. Cargille.
ieee international conference on high performance computing data and analytics (1994)
Automatic mining of source code repositories to improve bug finding techniques
C.C. Williams;J.K. Hollingsworth.
IEEE Transactions on Software Engineering (2005)
Efficient instrumentation for code coverage testing
Mustafa M. Tikir;Jeffrey K. Hollingsworth.
international symposium on software testing and analysis (2002)
Understanding the High-Performance-Computing Community: A Software Engineer's Perspective
V.R. Basili;J.C. Carver;D. Cruzes;L.M. Hochstein.
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