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DTSTAMP:20260422T000712Z
LOCATION:505
DTSTART;TZID=America/Denver:20231112T171000
DTEND;TZID=America/Denver:20231112T172900
UID:submissions.supercomputing.org_SC23_sess428_ws_ipdrm104@linklings.com
SUMMARY:A gem5 Implementation of the Sequential Codelet Model: Reducing Ov
 erhead and Expanding the Software Memory Interface
DESCRIPTION:Dawson Fox (University of Delaware, Argonne National Laborator
 y (ANL)); Jose Monsalve Diaz (Argonne National Laboratory (ANL)); and Xiao
 ming Li (University of Delaware)\n\nModern tasking models define applicati
 ons in a fine-grained manner that necessitates lower overhead per segment 
 of computation. While previous work has seen implementations of hardware s
 upport for tasking models, many lack the support required by heterogeneity
  and fall short of expanding memory interfaces for data-centric needs and 
 memory utilization. In this paper, we propose and implement a hardware sup
 port scheme of the sequential codelet model (SCM). The hardware support ma
 kes it possible to demonstrate SCM’s potential advantage on heterogeneous 
 workloads and capability of supporting the expanding software memory inter
 face. The gem5 implementation of the Sequential Codelet Model functions as
  a foundation to demonstrate the benefits offered by the SCM program execu
 tion model by moving hardware support closer to program semantics. We comp
 are the overhead with DARTS, a software implementation of the Codelet Mode
 l that has been shown to be useful for fine-grained execution, and show a 
 20x reduction in overhead.\n\nTag: Distributed Computing, Middleware and S
 ystem Software, Runtime Systems\n\nRegistration Category: Workshop Reg Pas
 s\n\nSession Chairs: Barbara Chapman (Hewlett Packard Enterprise (HPE), St
 ony Brook University); Joseph Manzano (Pacific Northwest National Laborato
 ry (PNNL)); Shirley Moore (University of Texas at El Paso); EunJung (EJ) P
 ark (Qualcomm); and Joshua Suetterlein (Pacific Northwest National Laborat
 ory (PNNL))\n\n
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