Sept 2024, our SERI paper has won the FPL 2024 Stamatis Vassiliadis Best Paper Award. Congrats to Philip!
Aug 2024, one paper accepted by TIP 2024. 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 FPGA 2025 TPC, welcome to submit!
Jul 2024, Dr. Fang is invited to serve on the FPT 2024 TPC, welcome to submit!
Jul 2024, one paper accepted by ECCV 2024. 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 TRETS. 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 Prof. Jason Cong's group at UCLA and led by SFU.
Jun 2024, one paper accepted by TRETS. 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 FPL 2024. 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 Prof. Christian Plessl 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 Prof. Yanzhi Wang and Prof. Xue Lin 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 PacRim 2024 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 DATE 2025 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 ICS 2024. 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 Prof. Yanzhi Wang's and Prof. Xue Lin'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 IISWC 2024 organizing committee, welcome to submit!
Mar 2024, Dr. Fang is invited to serve on the FPL 2024 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 ICASSP 2024. 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 DCC 2024. 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 FPGA 2024. 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 FCCM 2024 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 FPT 2023 Journal Track (ACM TRETS). 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 PacRim 2024 Program Co-Chair, welcome to submit!
Oct 2023, Dr. Fang is invited to serve on the ARC 2024 organizing committee, welcome to submit!
Oct 2023, Dr. Fang is invited to serve on the DAC 2024 TPC, welcome to submit!
Sept 2023, one PhD and two MASc students join HiAccel lab! Welcome, Ahmad, Akhil, and Philip!
Aug 2023, Mitacs Globalink Research Internship 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 here. Just filter the projects with Host University as "Simon Fraser University - Burnaby" and Professor's Last Name as "Fang"!
Aug 2023, Dr. Fang is invited to serve on the DATE 2024 TPC, welcome to submit!
Aug 2023, one paper accepted by TRETS. 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 FPGA 2024 TPC, welcome to submit!
Jul 2023, one paper accepted by TRETS. 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 DAC-ROAD4NN 2023 Workshop 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 FCCM 2023!
May 2023, Dr. Fang is invited to serve on the FPT 2023 TPC, welcome to submit!
Apr 2023, Dr. Fang is elevated to IEEE Senior Member!
Apr 2023, Dr. Fang is invited to serve on the MICRO 2023 TPC (Light Load), welcome to submit!
Mar 2023, two full papers accepted by FCCM 2023. 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 Prof. Jason Cong'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 TGRS. 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 HPCA 2023!
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 LATHC 2023 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 here.
Feb 2023, Dr. Fang is invited to give a talk on "Hardware/Software Codesign to Accelerate Vision Transformers on FPGAs" at the AAAI-EMC2 2023 workshop!
Feb 2023, Dr. Fang is invited to serve on the FCCM 2023 Demo Night Co-Chair, welcome to submit your demo proposals!
Dec 2022, Dr. Fang is invited to serve on the FPL 2023 TPC, welcome to submit!
Dec 2022, Dr. Fang is invited to serve on the FCCM 2023 TPC, welcome to submit!
Nov 2022, one paper accepted by DATE 2023. 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 Prof. Yanzhi Wang's group from Northeastern University (lead).
Nov 2022, one paper accepted by TRETS. 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 TETC. 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 DAC 2023 TPC, welcome to submit!
Oct 2022, one paper accepted by HPCA 2023. 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 Prof. Yanzhi Wang's and Prof. Xue Lin'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 ISCA 2023 ERC, welcome to submit!
Aug 2022, Mitacs Globalink Research Internship 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 here. Just filter the projects with Host University as "Simon Fraser University - Burnaby" and Professor's Last Name as "Fang"!
Jul 2022, one paper accepted by ECCV 2022. 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 Prof. Yanzhi Wang's group from Northeastern University (lead).
Jul 2022, Dr. Fang is invited to serve on the FPGA 2023 TPC, welcome to submit!
Jun 2022, two papers accepted by Euromicro DSD 2022. 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, one paper accepted by FPL 2022. 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 Prof. Xue Lin's group from Northeastern University (lead).
Apr 2022, Dr. Fang is invited to serve on the FPT 2022 TPC, welcome to submit!
Mar 2022, Together with Prof. Yanzhi Wang (Northeastern University) and Dr. Zhe Chen (UCLA), Dr. Fang is co-organizing the DAC-ROAD4NN 2022 Workshop 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 HPCA 2023 TPC, welcome to submit!
Mar 2022, Dr. Fang is invited to serve on the MICRO 2022 TPC, welcome to submit!
Mar 2022, one paper accepted by TGRS. 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 TRETS. 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 TRETS. 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 FPL 2022 organizing committee, welcome to submit!
Jan 2022, Dr. Fang is invited to serve on the FPL 2022 TPC, welcome to submit!
Dec 2021, one paper accepted by ISQED 2022. The paper is on "Stealthy Attack on Algorithmic-Protected DNNs via Smart Bit Flipping", congrats to Behnam!
Nov 2021, one paper accepted by FPGA 2022. 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 Prof. Xue Lin's group from Northeastern University (lead).
Nov 2021, one paper accepted by TRETS. 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 DATE 2022. 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 FCCM 2022 TPC, welcome to submit!
Oct 2021, Dr. Fang is invited to serve on the ISCA 2022 ERC, welcome to submit!
Oct 2021, Dr. Fang is invited to serve on the DAC 2022 TPC, welcome to submit!
Sept 2021, Dr. Fang is invited to serve on the FCCM 2022 organizing committee, welcome to submit!
Sept 2021, Dr. Fang is invited to serve on the DATE 2022 TPC, welcome to submit!
Sept 2021, Dr. Fang has been registered as a Professional Engineer with Engineers and Geoscientists BC (EGBC)!
Aug 2021, Mitacs Globalink Research Internship 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 here. Just filter the projects with Host University as "Simon Fraser University - 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 here.
Aug 2021, two MASc students join HiAccel lab! Welcome, Moazin and Junzhe!
Aug 2021, Dr. Fang is invited to serve on the FPGA 2022 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, welcome to submit!
May 2021, one full paper and one short paper accepted by FPL 2021. 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, Dr. Fang is invited to serve on the ICCD 2021 TPC, welcome to submit!
Apr 2021, Dr. Fang is invited to serve on the FPT 2021 TPC, welcome to submit!
Mar 2021, one Work-In-Progress poster accepted by DAC 2021. 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 MICRO 2021 ERC (External Review Committee), welcome to submit!
Jan 2021, MASc student, Kartik Samtani, joins HiAccel lab with the prestigious SFU Graduate Dean's Entrance Scholarship (GDES)! Welcome, Kartik!
Jan 2021, Dr. Fang is invited to serve on the ASAP 2021 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 here.
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 here.
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 here.
Nov 2020, one paper and one poster accepted by FPGA 2021. 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 ISCA 2021 ERC (External Review Committee), welcome to submit!
Nov 2020, one paper accepted by FPT 2020. 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 Dr. Arrvindh Shriraman (CS) as co-PI. Thank NSERC for the generous support!
Oct 2020, Dr. Fang is invited to serve on the DAC 2021 TPC, welcome to submit!
Oct 2020, Dr. Fang is invited to serve on the IPDPS 2021 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 IISWC 2020. This paper is on "Reconfigurable Accelerator Compute Hierarchy: A Case Study Using Content-Based Image Retrieval", congrats to Nazanin (UCLA)!
Aug 2020, Mitacs Globalink Research Internship 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 here. Just filter the projects with Host University as "Simon Fraser University - Burnaby" and Professor's Last Name as "Fang"!
Jul 2020, Dr. Fang is invited to serve on the FPGA 2021 TPC, welcome to submit!
Jul 2020, one paper accepted by ICCAD 2020. 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!
May 2020, Dr. Fang is invited to serve on the DATE 2021 TPC, welcome to submit!
Apr 2020, one short WIP paper is accepted by LCTES 2020. 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 ACA 2020 TPC, welcome to submit!
Mar 2020, one paper and one poster accepted by FCCM 2020. 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 ASAP 2020 TPC, welcome to submit!
Jan 2020, HiAccel team receives a gift funding from Huawei. Thank Huawei for the generous support!
Jan 2020, Dr. Fang is invited to serve on the IISWC 2020 organizing committee, welcome to submit!
Jan 2020, Dr. Fang is invited to serve on the LCTES 2020 TPC, welcome to submit!
Dec 2019, Prof. Zhiru Zhang 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 FPGA 2020 TPC and the travel grant committee, welcome to submit!
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 Mitacs Globalink Research Internship 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 here : 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 SFU news.
Aug 2019, three MASc students join HiAccel lab! Welcome, Weihua, Sathish, and Xingyu!
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 DATE 2020 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 is invited by Huawei Vancouver to give a talk on "Towards Accelerator-Rich Architectures and Systems"!
Apr 2019, Dr. Fang comes back to academia and officially joins SFU!
Mar 2019, two papers accepted by FCCM 2019. 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 ASAP 2019 and APPT 2019 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 Center for Domain-Specific Computing (CDSC)!
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".