Kevin Cheng

ORCID: 0009-0000-7005-9428
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About
Contact & Profiles
Research Areas
  • Parallel Computing and Optimization Techniques
  • Advanced Data Storage Technologies
  • Modular Robots and Swarm Intelligence
  • Air Traffic Management and Optimization
  • Aviation Industry Analysis and Trends
  • Traffic control and management
  • Embedded Systems Design Techniques
  • Distributed and Parallel Computing Systems
  • Cloud Computing and Resource Management
  • Algorithms and Data Compression
  • Advanced Software Engineering Methodologies
  • Service-Oriented Architecture and Web Services
  • Advanced Optical Network Technologies
  • Network Packet Processing and Optimization
  • Optical Network Technologies
  • Spacecraft Design and Technology
  • Advanced Photonic Communication Systems
  • Satellite Communication Systems

Advanced Micro Devices (United States)
2023

Advanced Micro Devices (Canada)
2015

University of Florida
2014

University of Essex
2008-2010

University of Potsdam
2010

Due to harsh and inaccessible operating environments, space computing presents many unique challenges with respect stringent power, reliability, programmability constraints that limit on-board processing performance mission capabilities. However, the increasing need for real-time sensor autonomous processing, coupled limited communication bandwidth ground stations, are demand high-performance, next-generation missions. Since currently available radiation-hardened processors cannot satisfy...

10.1109/aero.2014.6836387 article EN IEEE Aerospace Conference 2014-03-01

An enhanced version of hardware accelerated QoT estimation tool in impairment-aware optical network is demonstrated and evaluated against the different number lightpaths wavelengths per link. It outperforms software by 28 times order millisecond.

10.1109/ecoc.2010.5621550 article EN 2010-09-01

This paper proposes a new approach for the utilization of reconfigurable hardware in self-organized context. A concept and system are presented under form Reconfigurable Self-Organized Systems (RSS). The goal is to study impact FPGA based systems networked environment. Partial Reconfiguration used implement accelerators at runtime. proposed designed each level, parameters that influence performance. As results, first timing measurements partial reconfiguration proposed. They seen from...

10.1109/ahs.2010.5546243 article EN 2010-06-01

The pace of advancement the top-end supercomputers historically followed an exponential curve similar to (and driven in part by) Moore's Law. Shortly after hitting petaflop mark, community started looking ahead next milestone: Exascale. However, many obstacles were already looming on horizon, such as slowing Law, and others like end Dennard Scaling had arrived. Anticipating significant challenges for overall high-performance computing (HPC) achieve 1000x improvement, U.S. Department Energy...

10.1145/3579371.3589349 article EN 2023-06-16

This work presents the design of a <em>Reconfigurable Self-Organised System</em> (RSS) and in particular its control application, communication structure used notion preemption that is to optimize associate tasks resources.

10.2316/p.2011.759-119 article EN Signal and Image Processing 2011-01-01

This article consists of a slide from the authors' conference presentation. NMI is an abstracted, unified memory interface to support future scale-out capacity, processing-in-memory, I/O devices, emerging non-volatile memories, cache-coherent shared virtual memory.

10.1109/hotchips.2015.7477474 article EN 2015-08-01

Current-day traffic management initiatives (TMIs), such as ground delay programs (GDPs) and miles-in-trail (MIT) restrictions, are not necessarily optimal in terms of minimizing overall delays while balancing demand capacity. Existing approaches address uncertainties capacity forecasts by adopting a “wait see” approach, which leads to short advance notice times for TMIs other inefficiencies. Moreover, overly conservative implemented uncertainty predicted congestion. This conservativeness...

10.2514/6.2014-2028 article EN 14th AIAA Aviation Technology, Integration, and Operations Conference 2014-06-13

The modern processor landscape is a varied and diverse community. As such, developers need way to quickly fairly compare various devices for use with particular applications. This article expands the authors’ previously published computational-density metrics presents an analysis of new generation device architectures, including CPU, DSP, FPGA, GPU, hybrid architectures. Also, memory are added expand existing suite characterize resources on processing devices. Finally, relational metric,...

10.1145/2888401 article EN ACM Transactions on Reconfigurable Technology and Systems 2016-09-24

Traffic Flow Management (TFM) implements traffic management initiatives (TMIs) such as Ground Delay Programs (GDPs) and TFM reroutes in order to manage airport airspace-sector demand. TMIs are not necessarily optimal terms of minimizing overall delays because they often designed with a degree conservativeness account for the uncertainty demand capacity forecasts. Moreover, current manual TMI design process each is typically address only one congestion event independent other disparate events...

10.2514/6.2013-4384 article EN 2018 Aviation Technology, Integration, and Operations Conference 2013-08-08

Content processing of network packets requires real-time rates and high throughput, which a platform field programmable gate array (FPGA) can provide. It also high-level design approach that allows time-to-market deadlines to be met. The paper introduces two-step development process the enhanced memory I/O facilities content processor utilized but avail more complete simulation debug on compatible board. This achieved by providing complimentary or shadow environment. High-level is available...

10.1109/mesa.2008.4735713 article EN 2008-10-01
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