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08:30
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Registration
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09:00
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Tutorials
(until 12:30)
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09:00
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hls4ml
-
Benjamin Ramhorst
(ETH Zurich)
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09:00
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NeuraLUT-Assemble: Hardware-aware Assembling of Sub-Neural Networks for Efficient LUT Inference
-
Marta Andronic
(Imperial College London) Mr
Oliver Cassidy
(Imperial College London)
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09:00
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Part 1: Agile Hardware Design for AI: A Hands-On Tutorial with SODA and Bambu
- Mr
Giovanni Gozzi
(Politecnico di Milano) Dr
Vito Giovanni Castellana
(Pacific Northwest National Laboratory) Mr
Michele Fiorito
(Politecnico di Milano)
Fabrizio Ferrandi
(Politecnico di Milano) Dr
Antonino Tumeo
(Pacific Northwest National Laboratory)
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10:30
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--- Break, change rooms ---
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11:00
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Coyote v2: Open-source Abstractions and Infrastructure for FPGAs
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Benjamin Ramhorst
(ETH Zurich)
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11:00
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Designing and Deploying Low-Latency Neural Networks on FPGAs with HGQ and da4ml
-
Chang Sun
(California Institute of Technology (US))
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11:00
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Part 2: Agile Hardware Design for AI: A Hands-On Tutorial with SODA and Bambu
-
Nicolo Ghielmetti
(CERN) Dr
Antonino Tumeo
(Pacific Northwest National Laboratory)
Fabrizio Ferrandi
(Politecnico di Milano) Mr
Michele Fiorito
(Politecnico di Milano) Dr
Vito Giovanni Castellana
(Pacific Northwest National Laboratory) Mr
Giovanni Gozzi
(Politecnico di Milano)
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11:00
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Super Neural Architecture Codesign Package (SNAC-Pack)
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Dmitri Demler
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09:00
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Invited talks
(until 10:30)
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09:00
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The JAX scientific ecosystem
-
Patrick Kidger
(Cradle.bio)
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09:45
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Wearable TinyML Platforms for Biosignal Intelligence Across the Body
- Dr
Andrea Cossettini
(ETH Zurich)
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10:30
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--- Coffee ---
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11:00
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Invited talks
(until 12:00)
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11:00
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Real-time ML and neuromorphic computing for smart robots
-
Yulia Sandamirskaya
(Zurich University of Applied Sciences)
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09:00
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Invited talks
(until 10:30)
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09:00
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The Instrumental Edge: Real-Time and AI-Ready Scientific Discovery
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Adam Thompson
(NVIDIA)
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09:45
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AI for next-gen cellular networks (6G)
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Bozidar Radunovic
(Microsoft Research)
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10:30
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--- Coffee ---
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11:00
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Invited talks
(until 11:45)
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11:00
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Next Generation GPU Signal Processing Pipeline for Radio Astronomy
-
Luigi Cruz
(SETI)
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11:45
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Conference photo outside of auditorium!
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09:30
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Invited talks
(until 11:00)
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09:30
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Scaling up Advanced, Near-Sensor AI: An Open Platform Approach
-
Luca Benini
(ETH Zurich)
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10:15
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Co-Design for Efficient & Adaptive ML
-
Yaman Umuroglu
(AMD)
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11:00
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--- Coffee ---
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11:30
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Contributed talks
(until 12:40)
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11:30
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Towards a Self-Driving Trigger: Adaptive Response in Real Time
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Giovanna Salvi
(University of Michigan (US))
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11:50
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Easing the path to deployment in ML4Sys through FPGAs
-
Maximilian Heer
(ETH Zurich)
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12:10
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Go small then go home - hyperparameter transfer for ML in HEP
-
Liv Helen Vage
(Princeton University (US))
|
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12:30
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Edge Deep Learning for Particle Physics (EPIGRAPHY)
-
Benedikt Maier
(Imperial College (GB))
|
|
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09:00
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Invited talks
(until 09:45)
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09:00
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Fast inference with Decision Forests
-
Richard Stotz
(Google Zurich)
|
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09:20
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Efficient Graph neural networks at Google
-
Mathieu Guillame-Bert
(Google Zurich)
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09:45
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--- Coffee ---
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10:15
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Contributed talks
(until 11:16)
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10:15
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A Real-Time GNN-based Clustering Algorithm for the Level 1 Calorimeter Trigger at Belle II
-
Isabel Haide
(Karlsruhe Institute for Technology)
|
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10:35
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Experiences Deploying a Hybrid PVFinder Algorithm for Primary Vertex Reconstruction in LHCb’s GPU-Resident HLT1
-
Mohamed Elashri
(University of Cincinnati)
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10:55
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State space models for Project 8 event reconstruction
-
Hannah Binney
|
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11:15
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Get your poster!
|
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11:15
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Invited talks
(until 12:35)
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11:16
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Conference summary
-
Nhan Tran
(Fermi National Accelerator Lab. (US))
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11:55
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Poster prizes and closing
-
Denis-Patrick Odagiu
(ETH Zurich (CH))
Benjamin Ramhorst
(ETH Zurich)
Marius Köppel
(ETH Zurich (CH))
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12:30
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Registration
|
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13:30
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Social
(until 14:00)
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14:00
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Invited talks
(until 15:30)
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14:00
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Reasoning Language Models: Overview and Blueprint
-
Maciej Besta
(ETH Zurich)
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14:45
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Real-time mixed-signal electronic circuits for understanding and implementing neural computation
-
Giacomo Indiveri
(ETH Zurich)
|
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15:30
|
--- Coffee ---
|
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15:50
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Invited talks
(until 17:20)
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15:50
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Real-time inference at the LHC
-
Vava Gligorov
(Centre National de la Recherche Scientifique (FR))
|
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16:35
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Real-time inference in gravitational wave astronomy (REMOTE)
-
Maximilian Dax
(ELLIS Institute Tübingen)
|
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17:20
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Commute to ETH Main Building (by ETH link 17:34 or 17:54). Meet Polyterrasse
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18:00
|
Social
(until 22:00)
(Dozentenfoyer)
|
|
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12:00
|
--- Lunch ---
|
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13:00
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Contributed talks
(until 15:00)
|
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13:00
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FINN+: Towards Hassle-Free Co-Design of FPGA DNN Inference Accelerators
-
Felix Jentzsch
|
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13:20
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End-to-End Neural Network Compression and Deployment for Hardware Acceleration Using PQuant and hls4ml
-
Roope Oskari Niemi
|
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13:40
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PrioriFI: Efficient Fault Injection for Edge Neural Networks
-
Olivia Weng
|
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14:00
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ENABOL: Enabling Neural Backpropagation On-chip Learning for Edge AI Systems
-
Manuel Valentin
(Northwestern University)
|
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14:20
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da4ml: Distributed Arithmetic for Real-time Neural Networks on FPGAs
-
Chang Sun
(California Institute of Technology (US))
|
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14:40
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AMD AI-Engines in fixed latency environments
-
Ioannis Xiotidis
(CERN)
|
|
15:00
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Posters and coffee
(until 16:00)
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16:00
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Contributed talks
(until 17:40)
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16:00
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Balancing Prediction Performance, Transparency and Energy Consumption in Machine Learning Models for Data Streams
-
Kirsten Köbschall
|
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16:20
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Arbolta: A Fault Tolerance Study using Minimal Hardware Simulation
-
Alexander Redding
(UC San Diego)
|
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16:40
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SuperSONIC: Cloud-Native Infrastructure for ML Inferencing
-
Yuan-Tang Chou
(University of Washington (US))
|
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17:00
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Embedding domain knowledge: Inductive biases for algorithmic alignment in Machine Learning
-
Serio Angelo Maria Agriesti
(Department of Technology, Management and Economics, Technical University of Denmark, Lyngby, Denmark)
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17:20
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Pushing Matrix-Vector Multiplication Performance on AMD AI Engines for Low-Latency Edge Inference
-
Dimitrios Danopoulos
(CERN)
|
|
|
12:00
|
--- Lunch ---
|
|
13:00
|
Contributed talks
(until 15:00)
|
|
13:00
|
Real-Time Anomaly Detection in the CMS Level-1 Trigger with AXOL1TL
-
Sabrina Giorgetti
(Universita e INFN, Padova (IT))
|
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13:20
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GELATO: A Generic Event-Level Anomaly detection Trigger for ATLAS
-
Kenny Jia
(Stanford University/ SLAC)
|
|
13:40
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Advancing the CMS Level-1 Trigger: Jet Tagging with DeepSets at the HL-LHC
-
Christopher Edward Brown
(CERN)
|
|
14:00
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Low-Latency On-Chip Tau Event Selection with Machine Learning for the Belle II Level-1 Trigger
-
Deven Misra
(University of Tokyo)
|
|
14:20
|
Accelerated Graph Neural Network Inference on FPGAs for Real-Time Muon Triggering at the HL-LHC
-
Davide Fiacco
(Sapienza Universita e INFN, Roma I (IT))
|
|
14:40
|
Jet finding in real-time using an object detection CNN
-
Leon Bozianu
(Universite de Geneve (CH))
|
|
15:00
|
Posters and coffee
(until 16:00)
|
|
16:00
|
Contributed talks
(until 17:40)
|
|
16:00
|
KAN-LUT: Efficient LUT-Based Acceleration of Kolomogorov-Arnold Networks (KANs) on FPGAs
-
Duc Hoang
(Massachusetts Inst. of Technology (US))
|
|
16:20
|
COLLIDE-2V - 750 Million Dual-View LHC Event Dataset for Low-Latency ML
-
Eric Anton Moreno
(Massachusetts Institute of Technology (US))
|
|
16:40
|
Accelerating Efficient Transformer Architectures for Point Cloud Data using hls4ml (REMOTE)
-
Jan-Frederik Schulte
(Purdue University (US))
|
|
17:00
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Hierarchical Dataflow Accelerator of Interaction Networks for Large-Scale Particle Tracking on FPGA
-
Bo-Cheng Lai
|
|
17:20
|
An ML Pipeline for Real-time Gravitational Wave Alerts
-
Christina Reissel
(Massachusetts Inst. of Technology (US))
Philip Coleman Harris
(Massachusetts Inst. of Technology (US))
Katya Govorkova
(Massachusetts Inst. of Technology (US))
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17:40
|
Map to Tessin Grotto
|
|
17:45
|
--- Walk to Tessin Grotto (see map) ---
|
|
18:00
|
Social
(until 23:00)
|
|
|
12:40
|
Fast ML foundation discussion
|
|
12:40
|
--- Lunch ---
|
|
13:30
|
Contributed talks
(until 15:30)
|
|
13:30
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Low-Latency Resource-Efficient GNNs for Jet Tagging on FPGAs
-
Zhiqiang (Walkie) Que
(Imperial College London)
|
|
13:50
|
Smartpixels: Intelligent pixel detectors: Towards a radiation hard ASIC with on-chip machine learning in 28nm CMOS
-
Jannicke Pearkes
(University of Colorado Boulder (US))
Benjamin Weiss
(Cornell University)
|
|
14:10
|
Quantum-Inspired Tensor Network Models for Ultrafast Jet Tagging on FPGAs
- Ms
Ema Puljak
(universitat Autònoma de Barcelona)
|
|
14:30
|
Toward a Ultra-Fast, Energy-Efficient Readout of Calorimeters with Neuromorphic Processing
-
Enrico Lupi
(CERN, INFN Padova (IT))
|
|
14:50
|
SparsePixels: Efficient Convolution for Sparse Data on FPGAs
-
Ho-Fung Tsoi
(University of Pennsylvania)
|
|
15:10
|
FPGA-accelerated ML for real-time RHEED inference
-
Abdelrahman Asem Elabd
(University of Washington (US))
|
|
15:30
|
--- Coffee ---
|
|
16:00
|
Contributed talks
(until 17:00)
|
|
16:00
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Low-latency Jet Tagging for HL-LHC Using Transformer Architectures
-
Lauri Antti Olavi Laatu
(Imperial College (GB))
|
|
16:20
|
Radiation-Hard, ML-Based, Low-Latency Compression for the LHCb ECAL Upgrade
-
Katya Govorkova
(Massachusetts Inst. of Technology (US))
|
|
16:40
|
Chisel4ml: Using Chisel For Direct Circuit Implementation of Deeply Quantized Neural Networks
-
Jure Vreča
|
|
17:00
|
Birds-of-a-Feather
(until 18:00)
|
|
17:00
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MLOps Pipeline for Continuous Deployment of Machine Learning Algorithms for HEP
-
Marius Köppel
(ETH Zurich (CH))
Maciej Mikolaj Glowacki
(CERN)
|
|
17:00
|
QONNX Birds-of-a-Feather (BoF) Session
-
Yaman Umuroglu
|
|
|
14:00
|
Satellite event: hls4ml dev meeting
-
Jan-Frederik Schulte
(Purdue University (US))
Benjamin Ramhorst
(ETH Zurich)
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