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Welcome

In the Reconfigurable and GPU Computing Laboratory (RCL) we research how to use hardware accelerators such as Field Programmable Gate Arrays (FPGAs) and Graphics Processing Units (GPUs) for a wide variety of applications. Our interest is in developing tools, libraries and interfaces that make accelerators easier to use. Our work helps speed up wireless networking, IoT, medical imaging, security and privacy applications, in many cases taking theoretical algorithm advances and making them practically  viable for the first time.

LAB NEWS

Xin Fang successfully defends his PhD dissertation:  “Privacy Preserving Computations Accelerated using FPGA Overlays”,  August 2017
Prof. Leeser receives a joint grant with Prof. Kokar to work with BAE Systems on the CONCERTO DARPA project.  link
Prof. Leeser is awarded an NSF grant with Prof. Ioannidis on “”Massively Scalable Secure Computation Infrastructure Using FPGAs”.  link
Ben Drozdenko defends his PhD dissertation:  “Enabling Protocol Coexistence: Hardware-Software Codesign of Wireless Transceivers on Heterogeneous Computing Architectures” April 2017