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Ali Akoglu
Also published under:A. Akoglu
Affiliation
Electrical and Computer Engineering Department, The University of Arizona, Tucson, AZ, USA
Topic
Average Execution Time,Directed Acyclic Graph,Injection Rate,Scheduling Decisions,Application Execution,Energy Efficiency,Forward Error Correction,Hardware Accelerators,Hardware Configuration,Heterogeneous Architecture,Heterogeneous SoC,Heterogeneous Systems,Increase In Execution Time,Multi-core,Processing Elements,Pulsed Doppler,Radar Applications,Reduction In Execution Time,Runtime Environment,System-on-chip,Task Scheduling,API Calls,Block Size,Critical Path,Degree Of Parallelism,Design Space Exploration,Development Of Applications,Dynamic Scheduling,Fast Fourier Transform,Flow Control,Frame Rate,Lookup Table,Low-density Parity-check,Matrix Multiplication,Multiple Applications,Neural Network,Neuromorphic Architectures,Neuromorphic Computing,Parallelization,Real-life Applications,Resource Usage,Running Example,Scheduling Algorithm,Shared Memory,Shared Object,Spiking Neural Networks,Task Execution,Task Queue,Throughput,ARM Processor,
Biography
Ali Akoglu is a professor in the Department of Electrical and Computer Engineering, at the University of Arizona, Tucson, AZ 85721 USA. His research focuses on high-performance computing and nontraditional computing architectures. Akoglu has a PhD in computer science from Arizona State University, Tempe, AZ, USA.