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SUMMARY:CANCELLED : Project PHI: System Design for Pervasive Hierarchal In
 telligence
DTSTART:20170127T161500
DTEND:20170127T173000
DTSTAMP:20260406T184715Z
UID:1010a0e45960c03495e647521fc6f0aa762e49fc815e4588decab38c
CATEGORIES:Conferences - Seminars
DESCRIPTION:Hadi Esmaeilzadeh\, Georgia Institute of Technology\nThis talk
  presents Project PHI (Pervasive Hierarchical Intelligence)\, a holistic e
 ffort to provide a comprehensive solution for making immersive machine int
 elligence a reality. \n\nOur guiding principle is to retain as much gener
 ality and automation while delivering large performance and efficiency gai
 ns through specialization and acceleration for a wide range of learning an
 d intelligence workloads. As the first milestone of Project PHI\, we have 
 developed MlWeaver\, which is open source and available at http://act-lab.
 org/artifacts/tabla/.\n\nThis cross-stack solution—spanning from program
 ming language to the hardware—rethinks the hardware/software abstraction
  by delving into the theory of machine learning. It leverages the insight 
 that many learning algorithms can be solved using stochastic gradient desc
 ent that minimizes an objective function. The solver is fixed while the ob
 jective function changes with the learning algorithm. Therefore\, MlWeaver
  uses stochastic optimization as the abstraction between hardware and soft
 ware. Consequently\, programmers specify the learning algorithm by merely 
 expressing the gradient of the objective function in our domain specific l
 anguage. MlWeaver then automatically generates the synthesizable implement
 ation of the accelerator for scale-out FPGA realization using a set of tem
 plate designs. Real hardware measurements show orders of magnitude higher 
 performance and power efficiency while the programmer only writes 60 lines
  of code. These encouraging results show that rethinking the hardware/soft
 ware abstractions from an algorithmic perspective can open new dimensions 
 in system design for Pervasive Hierarchical Intelligence.
LOCATION:BC 420 https://plan.epfl.ch/?room==BC%20420
STATUS:CONFIRMED
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