June 1, 2023: Out paper titled "CoMeFa: Deploying Compute-in-Memory on FPGAs for Deep Learning Acceleration" has been accepted at ACM TRETS

May 2, 2023: Our paper titled "HLSDataset: Open-Source Dataset for ML-Assisted FPGA Design using High Level Synthesis" has been accepted at ASAP'23

May 2, 2023: Our paper titled "COIN: Combinational Intelligent Networks" has been accepted at ASAP'23 as a poster

April 26, 2023: I'm super excited to share that I will be joinining Arizona State University as an Assistant Professor in the School of Computing and Augmented Intelligence (SCAI) in Fall 2023.

April 20, 2023: Our paper titled "Koios 2.0: Open-Source Deep Learning Benchmarks for FPGA Architecture and CAD Research" has been accepted by IEEE TCAD journal.

April 11, 2023: I'm thrilled to announce that I successfully defended my Ph.D. dissertation.

March 3, 2023: I'm presenting a poster on "Efficient Reconfigurable Substrates for Deep Learning" at the Imagine Consortium at UT Austin.

Feb 12-14, 2023: I'm attending ISFPGA conference. I'll be presenting a tutorial on FPGA architectures for DL and also presenting a poster for our work on WNNs for intrusion detection. 

Jan 7, 2023: I'm co-organizing a tutorial on "FPGA Architectures for Deep Learning" at FPGA'23. Check it out here.

Dec 4, 2022: I co-organized a workshop titled "Create your own Open FPGA" at FPT'22. See the website here.

Dec 1-2, 2022: I co-organized the research track of the Fast AI Summit. It involved wonderful talks from several industry leaders, professors and students, followed by a panel. Check it out here.

Nov 20, 2022: Our paper titled "An FPGA-Based Weightless Neural Network for Edge Network Intrusion Detection" has been accepted to FPGA'23 as a poster.

Oct 01, 2022: Our tutorial titled "FPGA Architectures for Deep Learning" at MICRO'22 was very well received. Check it out here.

Jul 31, 2022: Our paper titled "Weightless Neural Networks for Efficient Edge Inference" has been accepted at PACT'22 conference.

Jun 21, 2022: Our paper titled "Pruning Weightless Neural Networks" has been accepted at the ESANN'22 conference.

May 17, 2022: Our paper titled "CoMeFa: Compute-in-Memory Blocks for FPGAs" won the Best Paper Award at FCCM'22

May 3, 2022: Our paper titled "LogicWiSARD: Memoryless Synthesis of Weightless Neural Networks" has been accepted at the ASAP'22 conference.

Mar 29, 2022: Our paper titled "Tensor Slices: FPGA Building Blocks For The Deep Learning Era" has been accepted at the journal ACM TRETS.

Mar 21, 2022: Our paper titled "CoMeFa: Compute-in-Memory Blocks for FPGAs" has been accepted at FCCM'22. I am planning to present it in person at the conference in NYC. Excited to be attending a conference in person in over 2 years.

Mar 15, 2022: Welcome back, Tanmay Anand to LCA! He will be continuing as a part-time intern with LCA and working with me on FPGA benchmarks.

Mar 10, 2022: Our workshop proposal titled "OpenFPGA: The Open Source Revolution Comes to FPGAs" has been accepted at FCCM'22. This workshop is organized by OSFPGA. Looking forward to delivering this workshop in a few months.

Mar 1, 2022: Attended ISFPGA'22 (virtually). Presented our poster titled "MathRAMs: Configurable Fused Compute-Memory Blocks for FPGAs" at ISFPGA'22. It was good to see the interest in our work from many folks in the FPGA industry.

Feb 25, 2022: I am pleased that I have been awarded the University Graduate Fellowship for the 2022-2023 academic year, by the Graduate school. I was nominated for the fellowship by the ECE department earlier in the year.

Jan 3, 2022: Welcome Karan Mathur to LCA! He will joining us as an undergraduate intern and working with me on FPGA benchmarks.

Dec 22, 2021: Two papers got accepted at ISQED'22. One authored by Pragnesh titled "LogGen: A Parameterized Generator for Designing Floating-Point Logarithm Units for Deep Learning". Another authored by Ruihao titled "Hardware-aware 3D Model Workload Selection and Characterization for Graphics and ML Applications"

Nov 22, 2021: Our paper titled "MathRAMs: Configurable Fused Compute-Memory Blocks for FPGAs" has been accepted at ISFPGA'22 as a poster.