24th IEEE Real Time Conference - ICISE, Quy Nhon, Vietnam

Session

Invited Talk, Oral presentations, Mini-Orals

Day 3 - Morning

24 Apr 2024, 09:00

160. End-to-end Codesign of Hessian-aware Quantized Neural Networks for FPGAs

Vladimir Loncar (Massachusetts Inst. of Technology (US))

24/04/2024, 09:00

AI, Machine Learning, Real Time Simulation, Intelligent Signal Processing

Oral presentation

We develop an end-to-end workflow for the training and implementation of co-designed neural networks (NNs) for efficient field-programmable gate array (FPGA). Our approach leverages Hessian-aware quantization (HAWQ) of NNs, the Quantized Open Neural Network Exchange (QONNX) intermediate representation, and the hls4ml tool flow for transpiling NNs into FPGA firmware. This makes efficient NN...

152. Science Rate Acceleration with ESnet-JLab FPGA Accelerated Transport Load Balancer

michael goodrich

24/04/2024, 09:40

Front-End Electronics, Fast Digitizers, Fast Transfer Links & Networks

Oral presentation

To increase the science rate for high data rates/volumes, Thomas Jefferson National Accelerator Facility (JLab) has partnered with Energy Sciences Network (ESnet) to define and implement an edge to compute cluster data event load balancing architecture with hardware accelerated elements to address compression, fragmentation, dynamically switched destination transport and reassembly at the...

177. Development of the Proton Computed Tomography (pCT) prototype

Arnon Songmoolnak (Suranaree University of Technology)

24/04/2024, 10:00

Real Time Diagnostics, Digital Twin, Control, Monitoring, Safety and Security

Oral presentation

Proton computed tomography (pCT) is a novel three-dimensional medical imaging technique proposed for the pre-treatment diagnosis of patients undergoing proton therapy. The two main components of our pCT prototype are a proton tracker and a calorimeter. A proton tracker allows precise tracking of proton trajectories, while a proton calorimeter provides accurate measurement of their energies....

226. Mini Orals Session III

24/04/2024, 10:50

35. Enhancing Real-time Data Monitoring Display through Video Streaming Technology

Nicholas Tan Jerome

24/04/2024, 11:35

AI, Machine Learning, Real Time Simulation, Intelligent Signal Processing

Oral presentation

Effective control of experiment flow and real-time monitoring are vital to the growing bandwidth and complexity of data acquisition systems. Unfortunately, platforms like EPICS and LabVIEW are inadequate for handling high data rates. To address this, we create a system that connects a high-speed processing component with a visualization component through a video streaming interface. We further...

127. FPGA Tracking with oneAPI

Karol Hennessy (University of Liverpool (GB))

24/04/2024, 11:55

AI, Machine Learning, Real Time Simulation, Intelligent Signal Processing

Oral presentation

The next era of LHC experiments will provide an unprecedented volume of data, aiming to achieve a tenfold increase in integrated luminosity. Processing these data presents formidable computing challenges. In the case of the LHCb detector, a fully software based trigger has been employed in its current design, which processes events at ~30MHz. Currently, GPU-based compute acceleration is...

179. Studies on track finding algorithms based on machine learning with GPU and FPGA

Francesco Armando Di Bello (INFN e Universita Genova (IT))

24/04/2024, 12:15

Data Acquisition and Trigger Architectures

Oral presentation

Track finding in high-density environments is a key challenge for experiments at modern accelerators. In this presentation we describe the performance obtained running machine learning models studied for the ATLAS Muon High Level Trigger. These models are designed for hit position reconstruction and track pattern recognition with a tracking detector, on a commercially available Xilinx FPGA:...