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ORGANIZER;CN=Evgeny Osipov:mailto:evgeny.osipov@ltu.se
ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN=VSACommuni
 ty:mailto:vsacommunity@googlegroups.com
DESCRIPTION;LANGUAGE=en-GB:Dear all\,\n\nWelcome to the next talk on VSAONL
 INE by Marco Angioli and Rocco Martino from Sapienza Università di Roma\,
  Italy!\n\nDate: February 24\, 2025\nTime: 20:00 GMT\nZoom: https://ltu-se
 .zoom.us/j/65564790287\n\nWEB: https://bit.ly/vsaonline\n\nTwo talks sessi
 on: Reinforcement Learning with Hyperdimensional Computing on Flexible Har
 dware:\n<https://sites.google.com/view/hdvsaonline/spring-2025?authuser=0#
 h.58q4iitqvnt5>\n\nFrom Contextual Bandits Problems to Configurable Hardwa
 re Acceleration on RISC-V\nFebruary 24\, 2025. 20:00GMT\n<https://sites.go
 ogle.com/view/hdvsaonline/spring-2025?authuser=0#h.cnw089epkqt3>\n\nMarco 
 Angioli and Rocco Martino\, Sapienza Università di Roma\, Italy\nAbstract
  1: This talk introduces HD-CB\, the first application of Hyperdimensional
  Computing to model and automate sequential decision-making in Contextual 
 Bandits problems. HD-CB maps environmental states into a high-dimensional 
 space\, representing actions with dedicated hypervectors that are updated 
 in real-time based on received rewards. By operating directly in the high-
 dimensional space\, HD-CB replaces traditional\, computationally expensive
  methods\, like ridge regression\, with efficient and highly parallel vect
 or operations\, achieving superior performance\, faster convergence\, and 
 improved scalability.\nAbstract 2: With its inherent parallelism\, Hyperdi
 mensional Computing is an ideal candidate for hardware implementation. Thi
 s talk introduces HDCU\, a reconfigurable hardware accelerator powered by 
 a novel RISC-V instruction set extension. HDCU accelerates core arithmetic
  operations on hypervectors and can be configured at synthesis time to bal
 ance execution speed and resource usage\, adapting to diverse applications
 . A custom RISC-V Instruction Set Extension is designed to efficiently con
 trol the accelerator\, with instructions fully integrated into the GCC com
 piler chain and exposed to the programmer as intrinsic function calls. The
  dual flexibility coming from hardware configuration and software programm
 ability sets this work apart from application-specific solutions in the li
 terature\, offering a unique\, versatile accelerator adaptable to a wide r
 ange of applications and learning tasks.\n\nBest\,\nEvgeny\n\n\n\n
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SUMMARY;LANGUAGE=en-GB:VSAONLINE-10. Marco Angioli and Rocco Martino
DTSTART;TZID=W. Europe Standard Time:20250224T210000
DTEND;TZID=W. Europe Standard Time:20250224T220000
CLASS:PUBLIC
PRIORITY:5
DTSTAMP:20250219T152801Z
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