@jcanore

Reader (Associate Professor) in @GlasgowCS at @UofGlasgow | Leads @gic_lab | #ComputerArchitecture #Compilers #AI #MachineLearning #Security

 Glasgow, Scotland
dcs.gla.ac.uk/~josecr/
Joined January 2013
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Thrilled to share that our paper “𝑺𝑬𝑪𝑫𝑨-𝑳𝑳𝑴: 𝑫𝒆𝒔𝒊𝒈𝒏𝒊𝒏𝒈 𝑬𝒇𝒇𝒊𝒄𝒊𝒆𝒏𝒕 𝑭𝑷𝑮𝑨-𝒃𝒂𝒔𝒆𝒅 𝑨𝒄𝒄𝒆𝒍𝒆𝒓𝒂𝒕𝒐𝒓𝒔 𝒇𝒐𝒓 𝑳𝑳𝑴 𝒊𝒏𝒇𝒆𝒓𝒆𝒏𝒄𝒆 𝒐𝒏 𝑬𝒅𝒈𝒆 𝑫𝒆𝒗𝒊𝒄𝒆𝒔” has been accepted in ACM TRETS! 🙂 @gicLAB, @GlasgowCS, @dAIEDGE
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Kicking off the first tutorial session for the Computer Architecture course I’m teaching this semester! 🚀🙂 @GlasgowCS
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The preprint of our paper "𝑭𝑨𝑴𝑬: 𝑨𝒏 𝑭𝑷𝑮𝑨-𝑩𝒂𝒔𝒆𝒅 𝑷𝒍𝒂𝒕𝒇𝒐𝒓𝒎 𝒇𝒐𝒓 𝑨𝒑𝒑𝒓𝒐𝒙𝒊𝒎𝒂𝒕𝒆 𝑴𝒖𝒍𝒕𝒊𝒑𝒍𝒊𝒆𝒓𝒔 𝑬𝒗𝒂𝒍𝒖𝒂𝒕𝒊𝒐𝒏 𝒘𝒊𝒕𝒉 𝑷𝒂𝒕𝒕𝒆𝒓𝒏-𝑮𝒖𝒊𝒅𝒆𝒅 𝑫𝑵𝑵 𝑹𝒆𝒕𝒓𝒂𝒊𝒏𝒊𝒏𝒈" is now available! 🚀 arxiv.org/abs/2609.17730

FAME: An FPGA-Based Platform for Approximate Multipliers...

Approximate multipliers can reduce hardware area and energy consumption in Deep Neural Network (DNN) inference; however, they introduce computational errors. Assessing the accuracy of numerous...

arxiv.org
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Take a look at the preprint of our paper "𝑭𝒍𝒆𝒙𝑽𝒊𝑻: 𝑨 𝑭𝒍𝒆𝒙𝒊𝒃𝒍𝒆 𝑭𝑷𝑮𝑨-𝒃𝒂𝒔𝒆𝒅 𝑨𝒄𝒄𝒆𝒍𝒆𝒓𝒂𝒕𝒐𝒓 𝒇𝒐𝒓 𝑬𝒅𝒈𝒆 𝑽𝒊𝒔𝒊𝒐𝒏 𝑻𝒓𝒂𝒏𝒔𝒇𝒐𝒓𝒎𝒆𝒓𝒔" accepted to FPL 2026! arxiv.org/abs/2606.31938

FlexViT: A Flexible FPGA-based Accelerator for Edge Vision Transformers

Deploying Vision Transformer (ViT) models on edge platforms remains challenging due to their high computational demands and the architectural heterogeneity of modern hybrid ViT models, which...

arxiv.org
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Happy to share that our paper "𝒆𝑫𝑸𝑨: 𝑬𝒇𝒇𝒊𝒄𝒊𝒆𝒏𝒕 𝑫𝒆𝒆𝒑 𝑸𝒖𝒂𝒏𝒕𝒊𝒛𝒂𝒕𝒊𝒐𝒏 𝒐𝒇 𝑫𝑵𝑵 𝑨𝒄𝒕𝒊𝒗𝒂𝒕𝒊𝒐𝒏𝒔 𝒐𝒏 𝑬𝒅𝒈𝒆 𝑫𝒆𝒗𝒊𝒄𝒆𝒔" has been accepted (with minor revision) to TMLR (Transactions on Machine Learning Research)! 🙂 openreview.net/forum?id=SEIB…
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Take a look at our paper "𝘿𝙚𝙛𝙚𝙖𝙩 𝙩𝙝𝙚 𝙃𝙚𝙖𝙥: 𝙕𝙚𝙧𝙤-𝘾𝙤𝙥𝙮 𝘿𝙖𝙩𝙖 𝙈𝙤𝙫𝙚𝙢𝙚𝙣𝙩 𝙞𝙣 𝘼𝙓𝙄4𝙈𝙇𝙄𝙍" which was presented at the C4ML workshop at #CGO2026! 🙂 arxiv.org/abs/2606.11158

Defeat the Heap: Zero-Copy Data Movement in AXI4MLIR

As custom hardware accelerators become increasingly central to machine learning workloads, efficient data transfer is critical for maximizing accelerator performance on linear algebra kernels....

arxiv.org
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Our paper "𝑭𝒍𝒆𝒙𝑽𝒊𝑻: 𝑨 𝑭𝒍𝒆𝒙𝒊𝒃𝒍𝒆 𝑭𝑷𝑮𝑨-𝒃𝒂𝒔𝒆𝒅 𝑨𝒄𝒄𝒆𝒍𝒆𝒓𝒂𝒕𝒐𝒓 𝒇𝒐𝒓 𝑬𝒅𝒈𝒆 𝑽𝒊𝒔𝒊𝒐𝒏 𝑻𝒓𝒂𝒏𝒔𝒇𝒐𝒓𝒎𝒆𝒓𝒔" has been accepted to FPL 2026! 2026.fpl.org/ Congrats to Hubert Dymarkowski, Xingjian Fu, Rappy Saha and Jude Haris! 🙂
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🚀 Our paper “𝑷𝒐𝑻𝑨𝒄𝒄: 𝑨 𝑷𝒊𝒑𝒆𝒍𝒊𝒏𝒆 𝒇𝒐𝒓 𝑬𝒏𝒅-𝒕𝒐-𝑬𝒏𝒅 𝑨𝒄𝒄𝒆𝒍𝒆𝒓𝒂𝒕𝒊𝒐𝒏 𝒐𝒇 𝑷𝒐𝒘𝒆𝒓-𝒐𝒇-𝑻𝒘𝒐 𝑸𝒖𝒂𝒏𝒕𝒊𝒛𝒆𝒅 𝑫𝑵𝑵𝒔” is already available, check it out! ieeexplore.ieee.org/abstract…

PoTAcc: A Pipeline for End-to-End Acceleration of Power-of-Two Quantized DNNs

Power-of-two (PoT) quantization significantly reduces the size of Deep Neural Networks (DNNs) and allows the use of bit-shifts as core operations instead of multiplications for DNN inference....

ieeexplore.ieee.org
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🚀 The preprint of our paper "𝑮𝑷𝑼 𝑨𝒄𝒄𝒆𝒍𝒆𝒓𝒂𝒕𝒊𝒐𝒏 𝒐𝒇 𝑺𝒑𝒂𝒓𝒔𝒆 𝑭𝒖𝒍𝒍𝒚 𝑯𝒐𝒎𝒐𝒎𝒐𝒓𝒑𝒉𝒊𝒄 𝑬𝒏𝒄𝒓𝒚𝒑𝒕𝒆𝒅 𝑫𝑵𝑵𝒔" is now available! arxiv.org/abs/2604.11659 📅 We’ll be presenting this work on April 27 at the EuroMLSys’26 workshop in Edinburgh.

GPU Acceleration of Sparse Fully Homomorphic Encrypted DNNs

Fully homomorphic encryption (FHE) has recently attracted significant attention as both a cryptographic primitive and a systems challenge. Given the latest advances in accelerated computing, FHE...

arxiv.org
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José Cano retweeted
Nick Brown@NickBrownHPCJan 29
Recurring theme of @hipeac this week has been the intersection of compilers and architectures to address challenges in #ai, especially llm. Really exciting when @jcanore announced #HiPEAC 2027 will be held in Glasgow!
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I’m delighted to announce that #HiPEAC2027 will take place in Glasgow in January 2027, and I’m honored to serve as the General Chair! 🙂 We’re also excited to welcome Reetuparna Das as the Program Chair. More details will follow — stay tuned! hipeac.net
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📢 The program of our 8th AccML Workshop at #HiPEAC26 is available! We have 4 Invited talks (Cristina Silvano, Heiko Joerg Schick, Nicholas Fraser and Jacques Pienaar) and 9 paper presentations! 🗓️ 27 January | 📌 Kraków, Poland 👉 accml.dcs.gla.ac.uk/
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Happy to share that our paper "𝘿𝙚𝙛𝙚𝙖𝙩 𝙩𝙝𝙚 𝙃𝙚𝙖𝙥: 𝙕𝙚𝙧𝙤-𝘾𝙤𝙥𝙮 𝘿𝙖𝙩𝙖 𝙈𝙤𝙫𝙚𝙢𝙚𝙣𝙩 𝙞𝙣 𝘼𝙓𝙄4𝙈𝙇𝙄𝙍" has been accepted to the C4ML workshop at #CGO2026! 🙂 c4ml.org/
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⏳ Last 7 days to submit your work (𝗗𝗲𝗮𝗱𝗹𝗶𝗻𝗲 𝟱 𝗗𝗲𝗰 𝟮𝟬𝟮𝟱) to the 8th AccML Workshop at #HiPEAC26! 📢 Invited speakers: Cristina Silvano, Heiko Joerg Schick, Nicholas Fraser and Jacques Pienaar 🗓️ 27 January | 📌 Kraków, Poland 👉 accml.dcs.gla.ac.uk/
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⏳ DEADLINE EXTENDED (5 Dec 2025): 8th AccML Workshop at #HiPEAC26 📢 Confirmed invited speakers: Cristina Silvano, Heiko Joerg Schick, Nicholas Fraser and Jacques Pienaar 🗓️ 27 January | 📌 Kraków, Poland 👉 accml.dcs.gla.ac.uk/
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Check out our paper "F-BFQ: Flexible Block Floating-Point Quantization Accelerator for LLMs", presented at the LG-ARC Workshop at #ISCA2025! Kudos to Jude Haris for the great work! 🙂 arxiv.org/abs/2510.13401

F-BFQ: Flexible Block Floating-Point Quantization Accelerator for LLMs

Large Language Models (LLMs) have become increasingly prominent for daily tasks, from improving sound-totext translation to generating additional frames for the latest video games. With the help...

arxiv.org
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📢 Call for papers 8th Workshop on Accelerated Machine Learning (AccML) at #HiPEAC26 ⏳Deadline: 21 November, 2025 👉 accml.dcs.gla.ac.uk/
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On my way to the University of Essex for the IDEAL project meeting! 🙂 ideal-epsrc.github.io/
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On my way to Euro-Par 2025 in Dresden, Germany! Tomorrow I'm organizing the HeteroPar workshop, and we have a great program! 🙂 heteropar2025.dcs.gla.ac.uk/
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Ready to speak at the LG-ARC workshop at #ISCA2025! 🙂 llm-gnn.org/
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