University of Arizona Reconfigurable Computing Lab (UA-RCL)
We build open-source ecosystems towards making emerging computing systems accessible for the users. We research ways to bridge the gap between application engineers, hardware architects, and system software developers with a vertically integrated infrastructure that crosses all domains of computing system research. Our research program focuses on high performance computing systems and non-traditional computing architectures with themes that cover: a) development of resource management strategies from multi-processor system-on-chip to cloud computing scale; b) design and development of reconfigurable hardware architectures for reusable systems; c) modeling and simulation of neuromorphic computing architectures; and d) restructuring computationally challenging algorithms for achieving high performance on field programmable gate array (FPGA) and graphics processing unit (GPU) hardware architectures.
News
- Our paper titled PyTorch and CEDR: Enabling Deployment of Machine Learning Models on Heterogeneous Computing Systems (IEEE Xplore) was published in 2023 20th ACS/IEEE International Conference on Computer Systems and Applications (AICCSA).
- Mustafa Ghanim won Best Demonstration Award in ECE Graduate Student Research Poster & Demo Symposium held by ECE department. Congrats Mustafa! (Check out our blog post)
- Our paper titled A Runtime Manager Integrated Emulation Environment for Heterogeneous SoC Design with RISC-V Cores will be presented at the Heterogeneity in Computing Workshop (HCW’24) in May.
- Our paper titled GPU-RANC: A Cuda Accelerated Simulation Framework for Neuromorphic Architectures will be presented at the Neuro-Inspired Computational Elements (NICE’24) in April.
- Joshua Mack and Serhan Gener held a Tutorial Session CEDR: A Holistic Software and Hardware Design Environment for FPGA-Integrated Heterogeneous Systems in FPGA’24. (Check out our blog post)
- Joshua Mack has defended his PhD dissertation successfully. Congrats Dr. Mack! (Check out our blog post)
- Our paper titled Value-Based Resource Management at SoC Scale (ACM) was published in 3rd Workshop on Redefining Scalability for Diversely Heterogeneous Architectures (RSDHA)
- Joshua Mack held an Education Class CEDR: A Novel Runtime Environment for Accelerator-Rich Heterogeneous Architectures (YouTube) in ESWEEK’23.
- Our paper Contention-aware Performance Modeling for Heterogeneous Edge and Cloud Systems (ACM) was published in the Proceedings of the 3rd Workshop on Flexible Resource and Application Management on the Edge.
- Our paper FALCON: An FPGA Emulation Platform for Domain-Specific Systems-on-Chip (DSSoCs) (IEEE Xplore) was published in the IEEE Design & Test.
- Our paper GPU-based and Streaming-enabled Implementation of Pre-processing Flow towards Enhancing Optical Character Recognition Accuracy and Efficiency was accepted to Springer Cluster Computing journal.
- Our article A Novel Implementation Methodology for Error Correction Codes on a Neuromorphic Architecture (arxiv, IEEE Xplore) was published in the IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.
- Our paper CEDR-API: Productive, Performant Programming of Domain-Specific Embedded Systems (arXiv, IEEE Xplore) was published in the 2023 IPDPS Heterogeneity in Computing Workshop.
- Our paper CEDR: A Compiler-Integrated, Extensible, DSSoC Runtime (arXiv, ACM) was published in the ACM Transactions on Embedded Computing Systems.
Highlights
Our Projects
Click the link below for our active and archived projects.
Our Team
Click the link below to meet our team members.