His primary scientific interests are in Parallel computing, Microprocessor, Computer hardware, Artificial neural network and Accumulator. His Parallel computing research incorporates themes from Microcode and x86. He has researched Microprocessor in several fields, including Control logic, Stack, Set, Opcode and Instruction register.
His study explores the link between Opcode and topics such as Instruction set that cross with problems in Execution unit. The concepts of his Computer hardware study are interwoven with issues in Cache pollution, Cache algorithms, Instruction prefetch and Sequence. His Accumulator study integrates concerns from other disciplines, such as Discrete mathematics, Operand, Arithmetic and Multiplexing.
G. Glenn Henry mainly investigates Microprocessor, Computer hardware, Operating system, Cache and Parallel computing. His Microprocessor research is multidisciplinary, relying on both Microcode, Instruction set, Encryption and Opcode. His biological study spans a wide range of topics, including Execution unit and Instruction register.
A large part of his Computer hardware studies is devoted to Operand. His work deals with themes such as Artificial neural network and Accumulator, which intersect with Operand. His Mode, Computer program and Pipeline study in the realm of Operating system interacts with subjects such as Product.
His scientific interests lie mostly in Computer hardware, Artificial neural network, Accumulator, Arithmetic and Operating system. G. Glenn Henry works in the field of Computer hardware, focusing on Microprocessor in particular. G. Glenn Henry has included themes like Synchronizing, Computer program and Encryption in his Microprocessor study.
His Artificial neural network research includes elements of Multiplexing, Word, Buffer and Row. His research integrates issues of Operand, Multiplexer, Activation function and Algorithm in his study of Accumulator. His research in Operating system intersects with topics in Control logic and Instruction set.
G. Glenn Henry focuses on Artificial neural network, Accumulator, Arithmetic, Neural processing and Operand. G. Glenn Henry interconnects Computer hardware, Buffer and Row in the investigation of issues within Artificial neural network. His Computer hardware research is multidisciplinary, incorporating elements of CPU cache and Cache.
His Accumulator research includes themes of Point, Value, Multiplexer, Algorithm and Multiplexing. His work carried out in the field of Arithmetic brings together such families of science as Execution unit, Word, Series and Parallel computing. G. Glenn Henry focuses mostly in the field of Parallel computing, narrowing it down to topics relating to Variable and, in certain cases, Control unit and Instruction set.
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Static branch prediction mechanism for conditional branch instructions
G. Glenn Henry;Terry Parks.
Apparatus and method for selectively overriding return stack prediction in response to detection of non-standard return sequence
G. Glenn Henry;Thomas C. McDonald.
Microprocessor and method for performing selective prefetch based on bus activity level
G. Glenn Henry;Rodney E. Hooker.
Speculative hybrid branch direction predictor
Henry Geran;Macdonald Thomas.
Translation lookaside buffer that caches memory type information
Gaskins Daluss D;Henry G Glan;Huck Rodny E.
Microprocessor apparatus and method for performing block cipher cryptographic functions
Thomas A Crispin;Glenn G. Henry;Terry Parks.
Compare branch instruction pairing within a single integer pipeline
Gerard M. Col;G. Glenn Henry;Rodney E. Hooker.
Apparatus and method for extending a microprocessor instruction set
Henle G Glan;Huk Rode E;Paix Tairi.
Selective interrupt suppression
Glenn Henry;Rodney Hooker;Terry Parks.
Guaranteed prefetch instruction
Henry G Glenn;Hooker Rodney E;Eddy Colin.
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