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UID:submissions.supercomputing.org_SC23_sess424_ws_ross101@linklings.com
SUMMARY:RDARuntime:  An OS for AI Accelerators
DESCRIPTION:Benjamin Glick, Arjun Sabnis, Renate Kempf, Arnav Goel, Aarti 
 Lalwani, Guoyao Feng, and Kiran Ranganath (SambaNova Systems Inc)\n\nToday
 's supercomputers are more heterogeneous than ever before. As the share of
  AI workloads in data centers continues to grow, the share of GPUs and AI-
 specific hardware grows with it. AI accelerators are different from tradit
 ional hardware, affecting all aspects of system design, from data-center s
 cale to single-chip scale. AI accelerators are much more efficient than CP
 Us or GPUs for some HPC workloads, especially in AI for Science. They also
  add complexity to system architecture, management, and programming. Altho
 ugh runtime frameworks are critical to reducing system complexity, there i
 s little literature describing AI accelerator runtimes. In this paper, we 
 introduce RDARuntime - an AI-specific OS tailored for the development and 
 operation of SambaNova's reconfigurable dataflow architecture. We introduc
 e the architecture, our design decisions, and some of the results we have 
 achieved, along with some lessons we have learned while helping to deploy 
 the Reconfigurable Dataflow Unit (RDU) to production environments.\n\nTag:
  Middleware and System Software, Programming Frameworks and System Softwar
 e, Runtime Systems\n\nRegistration Category: Workshop Reg Pass\n\nSession 
 Chairs: Balazs Gerofi (Intel Corporation, RIKEN Center for Computational S
 cience (R-CCS)); Torsten Hoefler (ETH Zürich, Microsoft Corporation); and 
 Kamil Iskra (Argonne National Laboratory (ANL))\n\n
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