Jeff Chase
Papers
2
Total Citations
92
H-Index
2
About
Jeff Chase is a researcher specializing in high-performance computing architectures, with a particular focus on comparing and optimizing hardware implementations for computationally intensive real-time applications. His work sits at the intersection of reconfigurable computing, parallel processing, and digital signal processing, examining how different hardware platforms — specifically Field-Programmable Gate Arrays (FPGAs) and Graphics Processing Units (GPUs) — can be leveraged to maximize computational efficiency. Chase's most influential contribution, "Real-Time Optical Flow Calculations on FPGA and GPU Architectures: A Comparison Study" (2008), has garnered 72 citations and provides a rigorous empirical analysis of how these two architectures handle the demanding parallel workloads inherent in optical flow computation — a critical technique in computer vision and motion analysis. His follow-up work in 2010, expanding the comparison to include digital communications applications, further cemented his expertise in benchmarking hardware accelerators across diverse problem domains. His research has proven particularly valuable to engineers and computer scientists navigating the growing landscape of heterogeneous computing, offering concrete guidance on architectural trade-offs between FPGAs and GPUs when parallelism, control complexity, and arithmetic demands vary across applications.
Research Focus
Key Achievements
Top Papers
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