His primary scientific interests are in Parallel computing, Cache, Compiler, Instruction set and Computer hardware. As part of his studies on Parallel computing, Thomas M. Conte often connects relevant areas like Scheduling. His work in the fields of CPU cache overlaps with other areas such as Mode.
His biological study spans a wide range of topics, including UltraSPARC and Multimedia. His work is dedicated to discovering how Instruction set, Computer architecture are connected with Suite, Benchmark, Benchmarking and SDET and other disciplines. His study in Computer hardware is interdisciplinary in nature, drawing from both Loop scheduling and Software.
Thomas M. Conte mainly focuses on Parallel computing, Cache, Multi-core processor, Computer hardware and Embedded system. His research in Parallel computing intersects with topics in Thread, Scheduling and Compiler. His Compiler research includes themes of Software, Instruction set and Profiling.
He works mostly in the field of Cache, limiting it down to topics relating to Computer architecture and, in certain cases, Benchmark. The Multi-core processor study combines topics in areas such as Routing and Controller. His Embedded system study frequently intersects with other fields, such as Operating system.
His scientific interests lie mostly in Parallel computing, Efficient energy use, Reboot, Memory bandwidth and Thread. His studies in Parallel computing integrate themes in fields like Moore's law and Modulo. The various areas that Thomas M. Conte examines in his Efficient energy use study include Energy consumption, High Bandwidth Memory, Scalability and Computer engineering.
Thomas M. Conte has included themes like Computer security, Telecommunications, Data center and Testbed in his Reboot study. His studies deal with areas such as Field-programmable gate array, Xeon and Cache as well as Memory bandwidth. Cache is the subject of his research, which falls under Computer network.
His primary areas of study are Parallel computing, Reboot, Computer security, Scalability and Theoretical computer science. His Parallel computing study incorporates themes from Programming language, Pointer, Fortran, Optimizing compiler and Exploit. His Reboot research focuses on Supercomputer and how it relates to Big data, Computer performance and Software.
His Scalability research includes themes of Energy consumption, Implementation, Data science and Flexibility. His work in Theoretical computer science covers topics such as Transistor which are related to areas like Moore's law. Thomas M. Conte combines subjects such as Software architecture, Multi-core processor and Component with his study of Microarchitecture.
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Optimization of instruction fetch mechanisms for high issue rates
Thomas M. Conte;Kishore N. Menezes;Patrick M. Mills;Burzin A. Patel.
international symposium on computer architecture (1995)
Adaptive mode control: A static-power-efficient cache design
Huiyang Zhou;Mark C. Toburen;Eric Rotenberg;Thomas M. Conte.
ACM Transactions in Embedded Computing Systems (2003)
Reducing state loss for effective trace sampling of superscalar processors
T.M. Conte;M.A. Hirsch;K.N. Menezes.
international conference on computer design (1996)
Unified assign and schedule: a new approach to scheduling for clustered register file microarchitectures
Emre Özer;Sanjeev Banerjia;Thomas M. Conte.
international symposium on microarchitecture (1998)
Robust multipath routing
Conte Thomas M.
PARALLEL AND DISTRIBUTED SYSTEMS
James D. Isaak;Sorel Reisman;Jeffrey M. Voas;Elizabeth L. Burd.
A Benchmark Characterization of the EEMBC Benchmark Suite
J.A. Poovey;T.M. Conte;M. Levy;S. Gal-On.
IEEE Micro (2009)
Configurable string matching hardware for speeding up intrusion detection
Monther Aldwairi;Thomas Conte;Paul Franzon.
ACM Sigarch Computer Architecture News (2005)
Challenges to combining general-purpose and multimedia processors
T.M. Conte;P.K. Dubey;M.D. Jennings;R.B. Lee.
IEEE Computer (1997)
Performance analysis and its impact on design
P. Bose;T.M. Conte.
IEEE Computer (1998)
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