Glasgow Intelligent Computing Lab (gicLAB)

I'm delighted to share that our paper '𝐀𝐜𝐜𝐞𝐥𝐞𝐫𝐚𝐭𝐢𝐧𝐠 𝐓𝐫𝐚𝐧𝐬𝐩𝐨𝐬𝐞𝐝 𝐂𝐨𝐧𝐯𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬 𝐨𝐧 𝐅𝐏𝐆𝐀-𝐛𝐚𝐬𝐞𝐝 𝐄𝐝𝐠𝐞 𝐃𝐞𝐯𝐢𝐜𝐞𝐬' has been accepted at FPL 2025! It has been a long journey for this work. Kudos to Jude Haris! 🙂

2025.fpl.org

@giclab.bsky.social‬, @uofgcompsci.bsky.social, daiedge.eu

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 Jude Haris 🙂

@giclab.bsky.social‬, @uofgcompsci.bsky.social

HeteroPar'2025 23rd International Workshop on Algorithms, Models and Tools for Parallel Computing on Heterogeneous Platforms

📢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)
👉 heteropar2025.dcs.gla.ac.uk

Happy to share that our paper '𝐅-𝐁𝐅𝐐: 𝐅𝐥𝐞𝐱𝐢𝐛𝐥𝐞 𝐁𝐥𝐨𝐜𝐤-𝐅𝐥𝐨𝐚𝐭𝐢𝐧𝐠 𝐏𝐨𝐢𝐧𝐭 𝐐𝐮𝐚𝐧𝐭𝐢𝐳𝐚𝐭𝐢𝐨𝐧 𝐀𝐜𝐜𝐞𝐥𝐞𝐫𝐚𝐭𝐨𝐫 𝐟𝐨𝐫 𝐋𝐋𝐌𝐬' has been accepted at the ARC-LG workshop @ #ISCA2025! Kudos to Jude Haris 🙂

ICE-Pruning: An Iterative Cost-Efficient Pruning Pipeline for Deep Neural Networks 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 model ...

The preprint of our IJCNN 2025 paper '𝐈𝐂𝐄-𝐏𝐫𝐮𝐧𝐢𝐧𝐠: 𝐀𝐧 𝐈𝐭𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐂𝐨𝐬𝐭-𝐄𝐟𝐟𝐢𝐜𝐢𝐞𝐧𝐭 𝐏𝐫𝐮𝐧𝐢𝐧𝐠 𝐏𝐢𝐩𝐞𝐥𝐢𝐧𝐞 𝐟𝐨𝐫 𝐃𝐞𝐞𝐩 𝐍𝐞𝐮𝐫𝐚𝐥 𝐍𝐞𝐭𝐰𝐨𝐫𝐤𝐬'' is available, take a look! arxiv.org/abs/2505.07411

HeteroPar'2025 23rd International Workshop on Algorithms, Models and Tools for Parallel Computing on Heterogeneous Platforms

📢 Call for papers: 23rd HeteroPar Workshop at #EuroPar2025
⏳Deadline extended: 19 May, 2025 (AoE)
👉 heteropar2025.dcs.gla.ac.uk

@rosambadia.bsky.social, Anne Benoit, Alexey Lastovetsky, Leonel Sousa, Denis Trystram, Roman Wyrzykowski

Our 2 posters at the EuroMLSys workshop at EuroSys 2025! 🙂

1) "𝐄𝐱𝐩𝐥𝐨𝐢𝐭𝐢𝐧𝐠 𝐔𝐧𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞𝐝 𝐒𝐩𝐚𝐫𝐬𝐢𝐭𝐲 𝐢𝐧 𝐅𝐮𝐥𝐥𝐲 𝐇𝐨𝐦𝐨𝐦𝐨𝐫𝐩𝐡𝐢𝐜 𝐄𝐧𝐜𝐫𝐲𝐩𝐭𝐞𝐝 𝐃𝐍𝐍𝐬"
2) "𝐃𝐞𝐜𝐨𝐮𝐩𝐥𝐢𝐧𝐠 𝐒𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐚𝐥 𝐚𝐧𝐝 𝐐𝐮𝐚𝐧𝐭𝐢𝐭𝐚𝐭𝐢𝐯𝐞 𝐊𝐧𝐨𝐰𝐥𝐞𝐝𝐠𝐞 𝐢𝐧 𝐑𝐞𝐋𝐔-𝐛𝐚𝐬𝐞𝐝 𝐃𝐞𝐞𝐩

Kick-off of MLBench workshop at ASPLOS 2025! 🙂

Exploiting Unstructured Sparsity in Fully Homomorphic Encrypted DNNs 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 sparsi...

The preprint of our EuroMLSys 2025 paper '𝐄𝐱𝐩𝐥𝐨𝐢𝐭𝐢𝐧𝐠 𝐔𝐧𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞𝐝 𝐒𝐩𝐚𝐫𝐬𝐢𝐭𝐲 𝐢𝐧 𝐅𝐮𝐥𝐥𝐲 𝐇𝐨𝐦𝐨𝐦𝐨𝐫𝐩𝐡𝐢𝐜 𝐄𝐧𝐜𝐫𝐲𝐩𝐭𝐞𝐝 𝐃𝐍𝐍𝐬'' is available, take a look! arxiv.org/abs/2503.09184

The 5th Workshop on Machine Learning and Systems (EuroMLSys) The 5th Workshop on Machine Learning and Systems (EuroMLSys)

We have 2 papers accepted at EuroMLSys 2025! 😃

1) "Exploiting Unstructured Sparsity in Fully Homomorphic Encrypted DNNs".

2) "Decoupling Structural and Quantitative Knowledge in ReLU-based Deep Neural Networks".

euromlsys.eu

Big congrats to my PhD student Jude Haris for passing his PhD examination with minor corrections today! 🥳🥳🥳

📣 Call for participation: 7th AccML Workshop at #HiPEAC25 in Barcelona, Spain (Tuesday, 21 January)
🔥 Extremely hot topics in #ComputerSystems and #MachineLearning
📜 Program: 4 invited speakers and 6 regular papers
👉 lnkd.in/eUZsJTeH

gicLAB now on Bluesky! 🙂