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.


Follow RCL-Lab@NEU on twitter:  @LabRcl

Miriam Leeser has been named a Distinguished Contributor by the IEEE Computer Society.  link  

Our paper “The Future of FPGA Acceleration in Datacenters and the Cloud” is now available from ACM TRETs.  link

FPGAs in the Cloud.  Published in IEEE Computers in Science and Engineering, 2021.  link  

Accelerating Matrix Processing for MIMO Systems, in HEART 2021 wins Best Paper Award.  link

Miriam Leeser was named a Fulbright Scholar and is doing research on wireless networks in Ireland.  link

Leeser delivers keynote “Preserving Privacy through Processing Encrypted Data ” at Workshop on Heterogeneous High-performance Reconfigurable Computing: link

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

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