Accelerating AI Workshop 2022 – Challenges and Opportunities in Cloud and Edge Computing

May 4, 2022, Online


CMC Microsystems is pleased to organize the third workshop on accelerating AI, highlighting the challenges and opportunities of AI acceleration from the cloud to the edge.

This workshop aims to bring together experts from industry and academia to share their latest achievements and innovations in the field of AI and machine learning algorithms, software, and hardware from the cloud to deeply embedded machine learning systems.


  • ML applications: Computer Vision, NLP, EDA and CAD…
  • Novel AI HW: GPUs, FPGAs and Custom Accelerators
  • Software stack: libraries, compilers, and ML frameworks
  • ML Benchmarking on Emerging Hardware
  • AI Latest trends in chip design and commercialization.

This workshop will

  • Promote innovation, adoption and early access to advanced technologies including silicon and systems for accelerating AI workloads from cloud to the edge.
  • Share insights and experiences with others; explore collaboration opportunities and connect leaders from industry to AI researchers and start-ups.
  • Influence technology selection (roadmap) and development activities of emerging AI trends.

Target Attendees

The workshop is open to professors, research associates and graduate students at Canadian universities as well as industrial attendees who wish to provide input and advice.


May 4, 20221:00 pm to 5:00 pm EDTVirtual


TimePresenterOrganizationPresentation Title
1:00 – 1:05Yassine HaririCMC MicrosystemsWelcome and opening remarks
1:05 – 1:25Qian WangHuawei Technologies CanadaCANN: Unified Heterogeneous Computing Architecture to Unleash Ultimate Hardware Computing Power
1:25 – 1:45Warren GrossMcGill UniversityEdge Intelligence
1:45 – 2:05Davis SawyerDeepliteDeeplite Runtime (DeepliteRT): Ultra-Compact Quantization for AI on Arm CPUs
2:05 – 2:25Miodrag BolicUniversity of OttawaComputer Architectures and Algorithms: From Filtering to Deep Learning
2:25 – 2:45Andreas MoshovosUniversity of TorontoMachine Learning Anywhere/Anytime: Purpose-Built Computing Hardware
2:45 – 2:50Break
2:50 – 3:10Griffin LaceyNvidiaImproving GPU Utilization with Multi-Instance GPU (MIG)
3:10 – 3:30Rick O’ConnorOpenHW GroupCORE-V Cores: industrial grade, open-source RISC-V cores enabling AI accelerators at the edge
3:30 – 3:50Dusan GostimirovicMcGill UniversityDeep Learning for the Prediction and Correction of Fabrication Errors in Fine-Featured Silicon Photonics Circuits
3:50 – 4:10Nizar El ZarifPolytechnique MontréalExtending and implementing RISC V vector instructions for accelerating AI workload
4:10 – 4:30George ShakerUniversity of WaterlooOn the use of Radars and AI in hospitals and long-term care homes
4:30 – 5:00Open Discussion
5:00 PMClosing

Pricing and Registration

Attendee GroupPriceRegistration


Yassine Hariri, Hariri@cmc.ca, CMC Microsystems

Over 15 years of experience in advanced computing systems from the cloud to the very edge, with a focus on artificial intelligence, computer vision, video, image and sensor fusion workloads acceleration, FPGA based prototyping, software stack, and domain-specific hardware architectures. Currently leading projects related to the specification, development, implementation, deployment, and support of the next generation of advanced computing infrastructure mainly FPGAs, GPUs, and Custom Hardware for AI applications. Dr. Hariri earned his B.A.Sc. in Computer Engineering from Ecole Marocaine des Sciences de l’ingénieur, Casablanca, Morocco, in 1998, and the M.S. and Ph.D. degrees from Ecole de Technologie Supérieure (ETS), Montreal, QC, Canada, in 2002 and 2008, respectively, all in electrical engineering.


If you have any comments or questions regarding the contents of this workshop, please contact Dr. Yassine Hariri at Hariri@cmc.ca.


Course cancellations must be received in writing at least one (1) week before the beginning date of the course in question to receive a full refund of the registration fee. A cancellation made after the deadline will not receive a refund. CMC Microsystems makes no commitments on refunds for travel or accommodations.

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