José Cano
@jcanore
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Reader (Associate Professor) in @GlasgowCS at @UofGlasgow | Leads @gic_lab | #ComputerArchitecture #Compilers #AI #MachineLearning #Security
Glasgow, Scotland
Joined January 2013
On my way to the University of Essex for the IDEAL project meeting! 🙂 https://t.co/pSo9EKSw6e
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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! 🙂 https://t.co/6RMjBvs3uR
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Happy to share that our Abstract '𝐒𝐄𝐂𝐃𝐀 𝐃𝐞𝐬𝐢𝐠𝐧 𝐒𝐮𝐢𝐭𝐞: 𝐄𝐟𝐟𝐢𝐜𝐢𝐞𝐧𝐭 𝐇𝐚𝐫𝐝𝐰𝐚𝐫𝐞-𝐒𝐨𝐟𝐭𝐰𝐚𝐫𝐞 𝐂𝐨-𝐃𝐞𝐬𝐢𝐠𝐧 𝐨𝐟 𝐃𝐍𝐍 𝐀𝐜𝐜𝐞𝐥𝐞𝐫𝐚𝐭𝐨𝐫𝐬' has been accepted at the OSCAR workshop @ #ISCA2025! Kudos to @memjude🙂 @GlasgowCS, @dAIEDGE
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📢Final extension: 23rd International Workshop on Algorithms, Models and Tools for Parallel Computing on Heterogeneous Platforms (𝐇𝐞𝐭𝐞𝐫𝐨𝐏𝐚𝐫) at #EuroPar2025 ⏳Deadline: 25 May, 2025 (hard deadline) 👉
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Happy to share that our paper '𝐅-𝐁𝐅𝐐: 𝐅𝐥𝐞𝐱𝐢𝐛𝐥𝐞 𝐁𝐥𝐨𝐜𝐤-𝐅𝐥𝐨𝐚𝐭𝐢𝐧𝐠 𝐏𝐨𝐢𝐧𝐭 𝐐𝐮𝐚𝐧𝐭𝐢𝐳𝐚𝐭𝐢𝐨𝐧 𝐀𝐜𝐜𝐞𝐥𝐞𝐫𝐚𝐭𝐨𝐫 𝐟𝐨𝐫 𝐋𝐋𝐌𝐬' has been accepted at the ARC LG workshop @ISCAConfOrg 2025! Kudos to @memjude🙂
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The preprint of our IJCNN 2025 paper '𝐈𝐂𝐄-𝐏𝐫𝐮𝐧𝐢𝐧𝐠: 𝐀𝐧 𝐈𝐭𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐂𝐨𝐬𝐭-𝐄𝐟𝐟𝐢𝐜𝐢𝐞𝐧𝐭 𝐏𝐫𝐮𝐧𝐢𝐧𝐠 𝐏𝐢𝐩𝐞𝐥𝐢𝐧𝐞 𝐟𝐨𝐫 𝐃𝐞𝐞𝐩 𝐍𝐞𝐮𝐫𝐚𝐥 𝐍𝐞𝐭𝐰𝐨𝐫𝐤𝐬'' is available, take a look! https://t.co/exnOR14y7c
@Wenhao542592838, @pmh47_ml
arxiv.org
Pruning is a widely used method for compressing Deep Neural Networks (DNNs), where less relevant parameters are removed from a DNN model to reduce its size. However, removing parameters reduces...
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I just registered for @ISCAConfOrg in Tokyo, so really looking forward to it! 🙂 #ISCA2025
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📢 Call for papers: 23rd HeteroPar Workshop at #EuroPar2025 ⏳Deadline extended: 19 May, 2025 (AoE) 👉 https://t.co/6RMjBvsBkp
@rosabadia, Anne Benoit, Alexey Lastovetsky, Leonel Sousa, Denis Trystram, Roman Wyrzykowski
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I gave an invited talk on "Accelerating AI at the Edge" at Durham University today, nice campus! 🙂
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The preprint of our @euromlsys 2025 paper '𝐄𝐱𝐩𝐥𝐨𝐢𝐭𝐢𝐧𝐠 𝐔𝐧𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞𝐝 𝐒𝐩𝐚𝐫𝐬𝐢𝐭𝐲 𝐢𝐧 𝐅𝐮𝐥𝐥𝐲 𝐇𝐨𝐦𝐨𝐦𝐨𝐫𝐩𝐡𝐢𝐜 𝐄𝐧𝐜𝐫𝐲𝐩𝐭𝐞𝐝 𝐃𝐍𝐍𝐬'' is available, take a look! https://t.co/GS0CZOxZL9
arxiv.org
The deployment of deep neural networks (DNNs) in privacy-sensitive environments is constrained by computational overheads in fully homomorphic encryption (FHE). This paper explores unstructured...
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We have 2 papers accepted at EuroMLSys 2025 (@euromlsys)!😃 1) "Exploiting Unstructured Sparsity in Fully Homomorphic Encrypted DNNs". 2) "Decoupling Structural and Quantitative Knowledge in ReLU-based Deep Neural Networks".
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🎂 🥂 Have you checked out hashtag#HiPEACinfo74 yet? 👉 https://t.co/dg4rqRYp71 ✨ Our special, celebratory issue of the HiPEAC magazine brings together inspiring stories reflecting on the last 20 years of HiPEAC. Ft. @Pragmatic_Semi | @bfalsafi | @ICepfl | @eslepfl | @BSC_CNS
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The "Charting the Future of Edge AI" workshop at HiPEAC 2025 in Barcelona was a success! The event delved into edge AI systems requirements, the integration of IoT & edge computing, and the impact of generative AI. A big thank you to the 119 attendees from 23 countries!
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