Zhou, Huiyang - School of Computer Science, University of Central Florida

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Zhou, Huiyang - School of Computer Science, University of Central Florida

School of Electrical Engineering and Computer Science University of Central Florida
Optimizing Dual-Core Execution for Power Efficiency and Transient-Fault Recovery
In this work, we propose a novel information redundancy scheme to protect microprocessors from
Brief Contributions________________________________________________________________________________ Using Indexing Functions to Reduce Conflict
Abstract--This paper makes a case for using multi-core processors to simultaneously achieve transient-fault tolerance
Dual-Core Execution: Building a Highly Scalable Single-Thread Instruction Window
Adaptive Information Processing: An Effective Way to Improve Perceptron Predictors Hongliang Gao Huiyang Zhou
Understanding Software Approaches for GPGPU Reliability Martin Dimitrov* Mike Mantor Huiyang Zhou*
Hardware-Software Integrated Approaches to Defend Against Software Cache-based Side Channel Attacks
School of Electrical Engineering and Computer Science University of Central Florida
Address-Branch Correlation: A Novel Locality for Long-Latency Hard-to-Predict Branches
Abstract--Reliability becomes a key issue in computer system design as microprocessors are increasingly susceptible to
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed
School of Electrical Engineering and Computer Science University of Central Florida
Performance Modeling of Memory Latency Hiding Techniques Huiyang Zhou Thomas M. Conte
Machine Vision and Applications (2000) 12: 107112 Machine Vision and Applications
Abstract--The PPM prediction algorithm has been well known for its high prediction accuracy. Recent proposals of PPM-like
Anomaly-Based Bug Prediction, Isolation, and Validation: An Automated Approach for Software Debugging
Experiencing Various Massively Parallel Architectures and Programming Models for Data-Intensive Applications
School of Electrical Engineering and Computer Science University of Central Florida
Using Performance Bounds to Guide Pre-scheduling Code Optimizations Huiyang Zhou Thomas M. Conte
Improving Software Security via Runtime Instruction-Level Taint Checking
Deconstructing New Cache Designs for ThwartingDeconstructing New Cache Designs for Thwarting Software CacheSoftware Cache--based Side Channel Attacksbased Side Channel Attacks
Deconstructing New Cache Designs for Thwarting Software Cache-based Side Channel Attacks
Machine Vision and Applications (1998) 11: 3741 Machine Vision and Applications
Unified Architectural Support for Soft-Error Protection or Software Bug Detection Martin Dimitrov Huiyang Zhou
Combining Local and Global History for High Performance Data Prefetching Martin Dimitrov Huiyang Zhou
Computer Science Department University of Central Florida
School of Electrical Engineering and Computer Science University of Central Florida
Computer Science Department University of Central Florida
Code Size Aware Compilation for Real-Time Applications Huiyang Zhou
Journal of Instruction-Level Parallelism 7 (2005) Submitted 01/05; published 04/2005 Adaptive Information Processing: An Effective Way to Improve
School of Electrical Engineering and Computer Science University of Central Florida
A study of value speculative execution and misspeculation recovery in superscalar microprocessors