Nov 2025, one paper accepted by . The paper is on "Understanding the Performance of Native Execution in Big Data Engines: The Good, the Bad, and How to Fix It". Congrats to Haikai!
Nov 2025, two papers accepted by . One paper led by HiAccel group is on "SORCERI: Streaming Overlay Acceleration for Highly Contracted Electron Repulsion Integral Computations in Quantum Chemistry". The other paper led by 's group at UMN is on "vFPGA: Towards Sub-µs Reconfiguration via 3D FPGA and Packaging Co-Design". Congrats to Philip and all other co-authors!
Nov 2025, one collaboration paper accepted by . The paper is on "An Efficient and Scalable Hardware Architecture for Number Theoretic Transform on FPGA with Design Automation". Congrats to Xingyu and Dilshan!
Oct 2025, Dr. Fang has received the 2025 for the Caffeine paper he co-authored during his postdoc at UCLA. One paper from the 2015 and 2016 editions of ICCAD was selected for the 10-year retrospective most influential paper award as evidenced by impact on the research community as reflected in citations, on the vendor community via its use in an industrial setting or on new research venues as initiated by the paper during the past decade.
Oct 2025, three papers accepted by . One paper is on "PoCo: Extending Task-Parallel HLS Programming with Shared Multi-Producer Multi-Consumer Buffer Support" (FPT 2025 Journal Track), which is our latest follow up work of TAPA and PASTA on task-parallel HLS programming. The other two papers are on "HiSpMM: High Performance High Bandwidth Sparse-Dense Matrix Multiplication on HBM-equipped FPGA" (FPT 2025 Journal Track) and "MAD-HiSpMV: Matrix Adaptive Design with Hybrid Row Distribution for Imbalanced SpMV Acceleration on FPGAs", which are our latest efforts on SpMM and SpMV acceleration. Congrats to Akhil, Ahmad, Manoj, and Xingyu!
Sept 2025, Congratulations to Philip for winning the Kaiser Foundation Graduate Scholarship and Dilshan for winning the Lang Wong Memorial Endowment Scholarship!
Sept 2025, Dr. Fang is invited to serve on the Editorial Board, welcome to submit!
Sept 2025, one collaboration paper on "Perturbation-efficient Zeroth-order Optimization for Hardware-friendly On-device Training" is selected as one of the ICCAD 2025 Best Paper Nominees.
Jul 2025, one collaboration paper accepted by . The paper is on "Perturbation-efficient Zeroth-order Optimization for Hardware-friendly On-device Training".
Jun 2025, Dr. Fang has been granted tenure at Â鶹ÊÓƵeffective May 30, 2025, and been approved for the promotion to Associate Professor effective Sept 1, 2025.
May 2025, one collaboration paper accepted by . The paper is on "ShiftQuant: Towards Accurate and Efficient Sub-8-Bit Integer Training".
May 2025, our AutoNTT paper is one of the FCCM 2025 Best Paper Nominees. Congrats to Dilshan and Qilin!
Mar 2025, one paper accepted by . This paper is on "SELIC: Semantic-Enhanced Learned Image Compression via High-Level Textual Guidance", congrats to Haisheng!
Mar 2025, one paper accepted by . This paper is our first attempt on FHE acceleration: "AutoNTT: Automatic Architecture Design and Exploration for Number Theoretic Transform Acceleration on FPGAs", congrats to Dilshan and Qilin!
Oct 2024, one paper accepted by . This paper is on "FLUD: A Scalable and Configurable Systolic Array Design for LU Decomposition on FPGAs", congrats to Xingyu!
Sept 2024, our SERI paper has won the FPL 2024 Stamatis Vassiliadis Best Paper Award. Congrats to Philip!
Aug 2024, one paper accepted by . The paper is on "Fast and High-Performance Learned Image Compression With Improved Checkerboard Context Model, Deformable Residual Module, and Knowledge Distillation", congrats to Haisheng!
Jul 2024, Dr. Fang is invited to serve on the TPC, welcome to submit!
Jul 2024, Dr. Fang is invited to serve on the TPC, welcome to submit!
Jul 2024, one paper accepted by . The paper is on "WeConvene: Learned Image Compression with Wavelet-Domain Convolution and Entropy Model", congrats to Haisheng!
Jun 2024, Dr. Fang will serve as the General Chair for ASAP 2025 and Program Chair for RAW 2025. More information will come and welcome to submit.
Jun 2024, one paper accepted by . The paper is on "PASTA: Programming and Automation Support for Scalable Task-Parallel HLS Programs on Modern Multi-Die FPGAs", congrats to Moazin, Xingyu, Ahmad, and Akhil! This is a work in collaboration with 's group at UCLA and led by SFU.
Jun 2024, one paper accepted by . The paper is on "SQL2FPGA: Automated Acceleration of SQL Query Processing on Modern CPU-FPGA Platforms", congrats to Alec's (my first PhD graduate) 17th paper!
Jun 2024, five full papers accepted by . The first paper SERI is our first attempt to accelerate quantum chemistry on FPGAs, which got the highest review scores among all FPL 2024 submissions. It is led by my MASc student Philip Stachura, in collaboration with Dr. Xin Wu and from Paderborn University. The next two papers FORC and BitBlender accelerate common big data processing tax, Apache ORC file decoder and Bloom filter, on FPGAs. They are led by MASc students Abdul Wadood and Kenny Liu, respectively. The final two papers SDA and SA4 accelerate deep learning workloads, stable diffusion and 4-bit (convolutional) systolic array, on FPGAs. Both papers are led by my visiting PhD student Geng Yang (remotely due to visa issues) from Xidian University. The SDA paper is done in collaboration with and from Northeastern University, and Prof. Jie Lei from Xidian University. The SA4 paper is also done in collaboration with Prof. Jie Lei from Xidian University. Congratulations to all!
Jun 2024, one paper accepted by and received the highest review score among all submissions in the Computers track of PacRim 2024. The paper is on "HiTC: High-Performance Triangle Counting on HBM-Equipped FPGAs using HLS". Congrats to Junzhe, Manoj, and Xingyu!
Jun 2024, Dr. Fang is invited to serve on the TPC, welcome to submit!
May 2024, Dr. Fang has chaired a very successful RAW this year in San Francisco! We would like to thank all the committee members, speakers, attendees, and sponsors again!!
May 2024, one MASc student joins HiAccel lab! Welcome, Haikai!
Apr 2024, one paper accepted by . This paper is our another effort on Vision Transformer (ViT) acceleration "QUASAR-ViT: Hardware-Oriented Quantization-Aware Architecture Search for Vision Transformers", congrats to Alec and William. This is a work in collaboration with 's and 's group from Northeastern University (lead).
Apr 2024, congratulations to Philip for winning the BC Graduate Scholarship!
Apr 2024, congratulations to Philip for winning the NSERC CGS-M Scholarship!
Mar 2024, the HiAccel lab will host two high school coops from Terry Fox Secondary and McNair Secondary! Welcome, Jasmine and Jared!
Mar 2024, Dr. Fang visits ByteDance, and gives a talk on "Software-Programmable Accelerator-Centric Systems"!
Mar 2024, Dr. Fang is invited to serve on the organizing committee, welcome to submit!
Mar 2024, Dr. Fang is invited to serve on the TPC, welcome to submit!
Feb 2024, congratulations to Alec for successfully defending his PhD thesis! Alec is the first PhD graduate from the HiAccel lab. Wish him the best in Meta!
Dec 2023, one paper accepted by . The paper is on "Efficient Learned Image Compression with Selective Kernel Residual Module and Channel-wise Causal Context Model". Congrats to Haisheng (co-supervised with Prof. Jie Liang)!
Dec 2023, one paper accepted by . The paper is on "Learned Image Compression with Dual-Branch Encoder and Conditional Information Coding". Congrats to Haisheng (co-supervised with Prof. Jie Liang)!
Dec 2023, one paper accepted by . The paper is on "HiSpMV: Hybrid Row Distribution and Vector Buffering for Imbalanced SpMV Acceleration on FPGAs". It received the highest review score among all FPGA 2024 submissions, tied with two other papers. Congrats to Manoj and Xingyu!
Dec 2023, Dr. Fang is invited to serve on the TPC, welcome to submit!
Nov 2023, one visiting PhD and one postdoc join HiAccel lab! Welcome, Qilin and Haisheng!
Nov 2023, Dr. Fang gives an invited (virtual) talk on "Software-Programmable Accelerator-Centric Systems" at City University of Hong Kong!
Oct 2023, one paper accepted by . The paper is on "HyBNN: Quantifying and Optimizing Hardware Efficiency of Binary Neural Networks". This is a work in collaboration with Prof. Jie Lei's group from Xidian University (lead).
Oct 2023, Dr. Fang is invited to serve as the Program Co-Chair, welcome to submit!
Oct 2023, Dr. Fang is invited to serve on the organizing committee, welcome to submit!
Oct 2023, Dr. Fang is invited to serve on the TPC, welcome to submit!
Sept 2023, one PhD and two MASc students join HiAccel lab! Welcome, Ahmad, Akhil, and Philip!
Aug 2023, positions available in the HiAccel team for Summer 2024. The project is for international senior undergraduate students. Please apply by September 21, 2023 at 1 pm PT. One project will be on "Big Data Acceleration on FPGAs" and another project will be on "Hardware/Software Codesign for Deep Learning Acceleration". More details on the project can be found . Just filter the projects with Host University as "Â鶹ÊÓƵ - Burnaby" and Professor's Last Name as "Fang"!
Aug 2023, Dr. Fang is invited to serve on the TPC, welcome to submit!
Aug 2023, one paper accepted by . The paper is on "CHIP-KNNv2: A Configurable and High-Performance K-Nearest Neighbors Accelerator on HBM-based FPGAss". Congrats to Kenny, Alec, and Kartik!
Jul 2022, Dr. Fang is invited to serve on the TPC, welcome to submit!
Jul 2023, one paper accepted by . The is a collaboration paper with UCLA team (lead) on "TAPA: A Scalable Task-Parallel Dataflow Programming Framework for Modern FPGAs with Co-Optimization of HLS and Physical Design", congrats to Xingyu and Moazin!
Jul 2023, Dr. Fang visits AMD/Xilinx and Futurewei, and gives a talk on "Software-Programmable Accelerator-Centric Systems"!
Jul 2023, Together with Prof. Yanzhi Wang (Northeastern University) and Dr. Linghao Song (UCLA), Dr. Fang is co-organizing the for the fourth year. Welcome to attend our workshop at DAC 2023, Jul 9, Sunday, San Francisco, CA.
May 2023, Dr. Fang is invited to serve as the Program Chair for the 31st Reconfigurable Architectures Workshop (RAW 2024)!
May 2023, congratulations to William for winning the BC Graduate Scholarship!
May 2023, Dr. Fang chaired the Applications/ML session, in-person poster session, and demo night at !
May 2023, Dr. Fang is invited to serve on the TPC, welcome to submit!
Apr 2023, Dr. Fang is elevated to IEEE Senior Member!
Apr 2023, Dr. Fang is invited to serve on the TPC (Light Load), welcome to submit!
Mar 2023, two full papers accepted by . One paper is on "PASTA: Programming and Automation Support for Scalable Task-Parallel HLS Programs on Modern Multi-Die FPGAs", congrats to Moazin and Xingyu! This is a work in collaboration with 's group at UCLA and led by SFU. The other paper is on "SQL2FPGA: Automatic Acceleration of SQL Query Processing on Modern CPU-FPGA Platforms", congrats to Alec!
Mar 2023, one paper accepted by . The paper is on "SuperYOLO: Super Resolution Assisted Object Detection in Multimodal Remote Sensing Imagery". This is a work in collaboration with Prof. Jie Lei's group from Xidian University (lead).
Feb 2023, Dr. Fang gives a talk on "HeatViT: Hardware-Efficient Adaptive Token Pruning for Vision Transformers" at !
Feb 2023, Dr. Fang gives a talk on "SASA: A Scalable and Automatic Stencil Acceleration Framework for Optimized Hybrid Spatial and Temporal Parallelism on HBM-based FPGAs" at the workshop, co-located with CGO 2023!
Feb 2023, we have open sourced our SASA framework that supports scalable and automatic stencil acceleration on HBM-based FPGAs. Check it out .
Feb 2023, Dr. Fang is invited to give a talk on "Hardware/Software Codesign to Accelerate Vision Transformers on FPGAs" at the workshop!
Feb 2023, Dr. Fang is invited to serve on the Demo Night Co-Chair, welcome to submit your demo proposals!
Dec 2022, Dr. Fang is invited to serve on the TPC, welcome to submit!
Dec 2022, Dr. Fang is invited to serve on the TPC, welcome to submit!
Nov 2022, Dr. Fang is on the organizing committee of , co-located with CGO 2023 in Montreal. Welcome to submit your talk abstract, before Jan 6, 2023.
Nov 2022, one paper accepted by . This paper is our second effort on low-precision DNN training "ESRU: Extremely Low-Bit and Hardware-Efficient Stochastic Rounding Unit Design for 8-Bit DNN Training", congrats to Alec. This is a work in collaboration with 's group from Northeastern University (lead).
Nov 2022, one paper accepted by . The paper is on "SASA: A Scalable and Automatic Stencil Acceleration Framework for Optimized Hybrid Spatial and Temporal Parallelism on HBM-based FPGAs". Congrats to Xingyu, Alec, and our Mitacs intern Zhifan!
Nov 2022, one paper accepted by . The is a collaboration paper with UCLA team (lead) on "TopSort: A High-Performance Two-Phase Sorting Accelerator Optimized on HBM-based FPGAs"!
Oct 2022, Dr. Fang is invited to serve on the TPC, welcome to submit!
Oct 2022, one paper accepted by . This paper is our second effort on Vision Transformer (ViT) acceleration "HeatViT: Hardware-Efficient Adaptive Token Pruning for Vision Transformers", congrats to Alec and Kenny. This is a work in collaboration with 's and 's group from Northeastern University (lead).
Sept 2022, four MASc students join HiAccel lab! Welcome, Abdul, Dilshan, Manoj, and William (Accelerated MASc)!
Sept 2022, Dr. Fang is invited to serve on the ERC, welcome to submit!
Aug 2022, positions available in the HiAccel team for Summer 2023. The project is for international senior undergraduate students. Please apply by September 22, 2022 at 1 pm PT. One project will be on "Big Data Acceleration on FPGAs". More details on the project can be found . Just filter the projects with Host University as "Â鶹ÊÓƵ - Burnaby" and Professor's Last Name as "Fang"!
Jul 2022, one paper accepted by . This paper is our first effort on low-precision DNN training "You Already Have It: A Generator-Free Low-Precision DNN Training Framework using Stochastic Rounding", congrats to Alec. This is a work in collaboration with 's group from Northeastern University (lead).
Jul 2022, Dr. Fang is invited to serve on the TPC, welcome to submit!
Jun 2022, two papers accepted by . The papers are on "Blind Data Adversarial Bit-flip Attack against Deep Neural Networks" and "A Majority-based Approximate Adder for FPGAs", congrats to Behnam!
Jun 2022, Dr. Fang is hosting a virtual office hour at , co-located with ISCA 2022, welcome to attend!
Jun 2022, one paper accepted by . This paper is our first effort on Vision Transformer (ViT) acceleration "Auto-ViT-Acc: FPGA-Aware Automatic Acceleration Framework for Vision Transformer with Mixed-Scheme Quantization", congrats to Alec. This is a work in collaboration with 's group from Northeastern University (lead).
Apr 2022, Dr. Fang is invited to serve on the TPC, welcome to submit!
Mar 2022, Together with Prof. Yanzhi Wang (Northeastern University) and Dr. Zhe Chen (UCLA), Dr. Fang is co-organizing the for the third year. Welcome to submit your work-in-progress paper and live demo proposals, before Apr 24, 2022.
Mar 2022, Dr. Fang is invited to serve on the TPC, welcome to submit!
Mar 2022, Dr. Fang is invited to serve on the TPC, welcome to submit!
Mar 2022, one paper accepted by . The paper is on "OSCAR-RT: Algorithm/Hardware Co-Design for Real-Time On-Satellite CNN based Ship Detection in SAR Imagery". This is a work in collaboration with Prof. Jie Lei's group from Xidian University (lead).
Feb 2022, one paper accepted by . The paper is on "Demystifying the Soft and Hardened Memory Systems of Modern FPGAs for Software Programmers through Microbenchmarking". The is a journal extension of our FPGA 2021 paper, which is one of the top papers at FPGA 2021 that are invited to submit to FPGA 2021 Special Issue in ACM TRETS. Congrats to Alec!
Jan 2022, one paper accepted by . The is a journal extension of our FPL 2021 paper on "SyncNN: Evaluating and Accelerating Spiking Neural Networks on FPGAs", congrats to Sathish!
Jan 2022, Dr. Fang is invited to serve on the organizing committee, welcome to submit!
Jan 2022, Dr. Fang is invited to serve on the TPC, welcome to submit!
Dec 2021, one paper accepted by . The paper is on "Stealthy Attack on Algorithmic-Protected DNNs via Smart Bit Flipping", congrats to Behnam!
Nov 2021, one paper accepted by . The paper is on "FILM-QNN: Efficient FPGA Acceleration of Deep Neural Networks with Intra-Layer, Mixed-Precision Quantization", congrats to Alec. This is a work in collaboration with 's group from Northeastern University (lead).
Nov 2021, one paper accepted by . The paper is on "Quick-Div: Rethinking Integer Divider Design for FPGA-based Soft-Processors", congrats to Eric and Alec!
Nov 2021, one paper accepted by . The paper is on "FitAct: Error Resilient Deep Neural Networks via Fine-Grained Post-Trainable Activation Functions", congrats to Behnam!
Nov 2021, Dr. Fang publishes a short article "What is Customizable Computing" in ACM SIGDA newsletter.
Nov 2021, Dr. Fang is invited to serve on the TPC, welcome to submit!
Oct 2021, Dr. Fang is invited to serve on the ERC, welcome to submit!
Oct 2021, Dr. Fang is invited to serve on the TPC, welcome to submit!
Sept 2021, Dr. Fang is invited to serve on the organizing committee, welcome to submit!
Sept 2021, Dr. Fang is invited to serve on the TPC, welcome to submit!
Sept, 2021, the preprint of our survey paper is now available on the ACM Digital Library. This is a work in collaboration with 's group from Cornell University (lead) and from Intel. Please check it out.
Sept 2021, Dr. Fang has been registered as a Professional Engineer with Engineers and Geoscientists BC (EGBC)!
Aug 2021, positions available in the HiAccel team for Summer 2022. The project is for international senior undergraduate students. Please apply by September 22, 2021 at 1 pm PT. One project will be on "Big Data Acceleration on FPGAs". More details on the project can be found . Just filter the projects with Host University as "Â鶹ÊÓƵ - Burnaby" and Professor's Last Name as "Fang"!
Aug 2021, we have open sourced our SyncNN framework that supports the evaluation and acceleration of spiking neural networks on FPGAs, written in High-Level Synthesis C/C++. Check it out .
Aug 2021, two MASc students join HiAccel lab! Welcome, Moazin and Junzhe!
Aug 2021, Dr. Fang is invited to serve on the TPC, welcome to submit!
Jul 2021, Dr. Fang is co-organizing the 2nd ROAD4NN Workshop (Research Open Automatic Design for Neural Networks), co-located with DAC 2021, !
May 2021, one full paper and one short paper accepted by . The full paper is on "SyncNN: Evaluating and Accelerating Spiking Neural Networks on FPGAs", congrats to Sathish! The short paper is on "MAPLE: A Machine Learning based Aging-Aware FPGA Architecture Exploration Framework", congrats to!
Apr 2021, together with Christian Pilato, Yuko Hara-Azumi, Jim Hwang, Dr. Fang is organizing a . Welcome to submit!
Apr 2021, Dr. Fang is invited to serve on the TPC, welcome to submit!
Apr 2021, Dr. Fang is invited to serve on the TPC, welcome to submit!
Mar 2021, one Work-In-Progress poster accepted by . This poster is on "Stealth Attack on Protected DNNs: Compromising Robustness without Losing Accuracy via Smart Bit Flipping", congrats to Behnam!
Mar 2021, Dr. Fang is invited to serve on the ERC (External Review Committee), welcome to submit!
Jan 2021, MASc student, Kartik Samtani, joins HiAccel lab with the prestigious Â鶹ÊÓƵGraduate Dean's Entrance Scholarship (GDES)! Welcome, Kartik!
Jan 2021, Dr. Fang is invited to serve on the organizing committee and TPC, welcome to submit!
Dec 2020, we have open sourced our microbenchmarks to characterize modern FPGA memory systems, written in High-Level Synthesis C/C++. Check it out .
Dec 2020, we have open sourced our Rodinia-hls benchmark suite, an FPGA version of the widely used GPU benchmark suite Rodinia, written in High-Level Synthesis C/C++. Check it out .
Dec 2020, we have open sourced our CHIP-KNN framework for configurable and high-performance K-Nearest Neighbors (KNN) acceleration on cloud FPGAs. Check it out .
Nov 2020, one paper and one poster accepted by . The paper is on "Demystifying the Memory System of Modern Datacenter FPGAs for Software Programmers through Microbenchmarking", congrats to Alec and Weihua! The poster is on "LEAP: A Deep Learning based Aging-Aware Architecture Exploration Framework for FPGAs", congrats to Behnam!
Nov 2020, Dr. Fang is invited to serve on the ERC (External Review Committee), welcome to submit!
Nov 2020, one paper accepted by . This paper is on "CHIP-KNN: A Configurable and High-Performance K-Nearest Neighbors Accelerator on Cloud FPGAs", congrats to Alec!
Oct 2020, Dr. Fang receives the Alliance grant from NSERC (Natural Sciences and Engineering Research Council of Canada), with (CS) as co-PI. Thank NSERC for the generous support!
Oct 2020, Dr. Fang is invited to serve on the TPC, welcome to submit!
Oct 2020, Dr. Fang is invited to serve on the TPC, welcome to submit!
Sept 2020, one more US patent awarded on "Heterogeneous instantiation of high-level language callable library for hardware core"! Congrats to my Xilinx ex-colleagues!
Aug 2020, one US patent awarded on "Automatic creation of high-level language callable library for a hardware core"! Congrats to my Xilinx ex-colleagues!
Aug 2020, one paper accepted by . This paper is on "Reconfigurable Accelerator Compute Hierarchy: A Case Study Using Content-Based Image Retrieval", congrats to Nazanin (UCLA)!
Aug 2020, positions available in the HiAccel team for Summer 2021. The project is for international senior undergraduate students. Please apply by September 23, 2020 at 1 pm PT. One project will be on "Big Data Acceleration on FPGAs". More details on the project can be found . Just filter the projects with Host University as "Â鶹ÊÓƵ - Burnaby" and Professor's Last Name as "Fang"!
Jul 2020, Dr. Fang is invited to serve on the TPC, welcome to submit!
July 2020, the first is online, welcome to register (free) and attend on Jul 19, 2020!
Jul 2020, one paper accepted by . This is our first paper on hardware reliability: "Aadam: A Fast, Accurate, and Versatile Aging-Aware Cell Library Delay Model using Feed-Forward Neural Network", congrats to Behnam!
Jul 2020, Dr. Fang is invited to serve on the TPC.
May 2020, Dr. Fang is invited to serve on the TPC, welcome to submit!
Apr 2020, one short WIP paper is accepted by . This is our preliminary work on "FPGA-based Near Data Processing Platform Selection Using Fast Performance Modeling", congrats to Nazanin (UCLA)!
Apr 2020, Dr. Fang gives an invited talk at British Columbia Genome Sciences Center. The talk title is "Accelerating Next-Generation Sequencing on FPGA-Enabled Cluster".
Mar 2020, Dr. Fang is co-organizing the ROAD4NN Workshop (Research Open Automatic Design for Neural Networks), co-located with DAC 2020, welcome to attend!
Mar 2020, Dr. Fang is invited to serve on the TPC, welcome to submit!
Mar 2020, one paper and one poster accepted by . One full paper on "Algorithm-Hardware Co-design for BQSR Acceleration in Genome Analysis ToolKit", congrats to Michael (UCLA)! One poster on "EASpiNN: Effective Automated Spiking Neural Network Evaluation on FPGA", congrats to Sathish!
Feb 2020, Dr. Fang is invited to serve on the TPC, welcome to submit!
Jan 2020, Dr. Fang is invited to serve on the organizing committee, welcome to submit!
Jan 2020, Dr. Fang is invited to serve on the TPC, welcome to submit!
Dec 2019, from Facebook visits us.
Dec 2019, from Cornell University visits us and gives an invited talk on "Efficient Machine Learning in the Age of Hardware Specialization".
Oct 2019, Dr. Fang gives an invited talk at Politecnico di Milano, Italy. The talk title is "Towards Accelerator-Rich Architectures and Systems".
Oct 2019, HiAccel team receives a gift funding from Xilinx. Thank Xilinx for the generous support!
Sept 2019, Dr. Fang is invited to serve on the TPC and the travel grant committee, welcome to submit!
Aug 2019, Dr. Fang is invited to serve as Co-Guest Editor of Special Issue!
Aug 2019, 1 SFU-Mitacs Globalink Research Award internship position available in the HiAccel team. This project is for MASc or PhD student and it will be on "When applications run better on GPUs, when on FPGAs, and how". More details on this project can be found here!
Aug 2019, 2 to 4 positions available in the HiAccel team. These projects are for senior undergrduate students. One project will be on "When applications run better on GPUs, when on FPGAs, and how", and the other project will be on "Accelerating big data applications on FPGAs". More details on the two projects can be found : just filter the projects using my name!
Aug 2019, Dr. Fang receives $100K funding from CFI's (Canada Foundation for Innovation) John R. Evans Leaders Fund. The B.C. Knowledge Development Fund (BCKDF) will double this funding, in addition to partner contributions. Thank CFI, BCKDF, and Xilinx for the generous support! Here is the detailed Â鶹ÊÓƵnews.
Aug 2019, three MASc students join HiAccel lab! Welcome, Weihua, Sathish, and Xingyu!
Aug 2019, Dr. Fang is appointed as an Associate Member in , SFU!
Jul 2019, Dr. Fang is invited to give a talk at on . In addition, Dr. Fang will also chair two sessions on "Design Methodologies" at ASAP 2019!
Jul 2019, Dr. Fang is co-organizing , welcome to attend!
Jun 2019, Dr. Fang receives the first five-year Discovery grant from NSERC (Natural Sciences and Engineering Research Council of Canada). Thank NSERC for the generous support!
Jun 2019, Dr. Fang is invited to serve on the TPC, welcome to submit!
May 2019, our paper on "Caffeine: Towards Uniformed Representation and Acceleration for Deep Convolutional Neural Networks" has received the IEEE CEDA Donald O. Pederson Best Paper Award! The award seeks to recognize the best paper published in the IEEE Transactions on CAD in the two calendar years preceding the award.
Apr 2019, Dr. Fang comes back to academia and officially joins SFU!
Mar 2019, two papers accepted by . One full paper on "Rethinking Integer Divider Design for FPGA-based Soft-Processors", congrats to Eric and Alec! One short paper on "An FPGA-based BWT Accelerator for Bzip2 Data Compression", congrats to Weikang (UCLA)!
Mar 2019, HiAccel team is granted access to the Intel vLab. Thank Intel for the generous support!
Feb 2019, Dr. Fang is invited to serve on the and TPC, welcome to submit!
Jan 2019, HiAccel team receives GPU equipment donation from NVidia. Thank NVidia for the generous support!
Dec 2018, HiAccel team receives FPGA equipment donation from Xilinx. Thank Xilinx for the generous support!
Dec 2018, the team Dr. Fang works at (in Xilinx) won team award in Xilinx Software and IP Group (1000+ people group)!
Nov 2018, our paper on "In-depth Analysis on Microarchitectures of Modern Heterogeneous CPU-FPGA Platforms" is accepted by ACM Transactions on Reconfigurable Technology and Systems (TRETS)!
Nov 2018, Dr. Fang's website has been moved to SFU!
Oct 2018, our paper on "Customizable Computing — From Single-Chip to Datacenters" is accepted by the Proceedings of the IEEE. This paper summaries and highlights of a decade effort by !
Oct 2018, Dr. Fang is invited to co-organize , welcome to submit!
Oct 2018, our paper on "Caffeine: Towards Uniformed Representation and Acceleration for Deep Convolutional Neural Networks" is accepted by TCAD 2018!
Jun 2018, Dr. Fang organized the workshop in Beijing, China, which had a great attendance!
May 2018, Dr. Fang is invited to serve on the DATE 2019 TPC.
Apr 2018, our paper on "Doppio: I/O-Aware Performance Analysis, Modeling and Optimization for In-Memory Computing Framework" is selected as ISPASS 2018 best paper nominee!
Mar 2018, 2 papers accepted by FCCM 2018! "High-Throughput Lossless Compression on Tightly-Coupled CPU-FPGA Platforms" and "Understanding Performance Differences of FPGAs and GPUs".