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DTSTAMP:20260202T201300Z
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DTSTART;TZID=America/Chicago:20251121T080000
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UID:submissions.supercomputing.org_SC25_sess620_post112@linklings.com
SUMMARY:csDF: A Double-Float Arithmetic Library for the Cerebras CS-2
DESCRIPTION:Reo Nagashima, Akeru Nakamura, Kai Murakami, and Ryunosuke Mat
 suzaki (Meiji University); Daichi Mukunoki (Nagoya University); and Takaak
 i Miyajima (Meiji University)\n\nRecently, there have been attempts to uti
 lize AI accelerators for scientific computing; however, these devices gene
 rally lack hardware support for double-precision floating-point arithmetic
 , which is essential for many scientific applications.\n\nThe Cerebras CS-
 2 system (CS-2) delivers extremely high single-precision performance of 1.
 06 PFlops/s but does not support native double-precision arithmetic. To ov
 ercome this limitation and enable scientific computations requiring double
  precision, a software-based approach is essential.\n\nWe propose csDF, a 
 double-float (DF) arithmetic library for the CS-2 that provides DF numeric
  types and arithmetic operations. To demonstrate the capability of csDF, w
 e implemented a naive pseudo-double-precision matrix multiplication using 
 DF addition and multiplication, and measured its strong scaling performanc
 e. Our result shows 8.09 Tera DF-Flops/s, which shows the feasibility of s
 oftware-based double-precision arithmetic and enables previously infeasibl
 e scientific computations.\n\nTag: Research & ACM SRC Posters\n\nRegistrat
 ion Category: Technical Program Reg Pass\n\nSession Chairs: Kento Sato (RI
 KEN Center for Computational Science (R-CCS)); Anja Gerbes (Georg-August-U
 niversität Göttingen); and Chris Schlipalius (Pawsey Supercomputing Resear
 ch Centre; Commonwealth Scientific and Industrial Research Organisation (C
 SIRO), Australia)\n\n
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