BEGIN:VCALENDAR
VERSION:2.0
PRODID:Linklings LLC
BEGIN:VTIMEZONE
TZID:Europe/Stockholm
X-LIC-LOCATION:Europe/Stockholm
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:19700308T020000
RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=-1SU
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:19701101T020000
RRULE:FREQ=YEARLY;BYMONTH=10;BYDAY=-1SU
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20241120T082409Z
LOCATION:HG E 1.2
DTSTART;TZID=Europe/Stockholm:20240604T110000
DTEND;TZID=Europe/Stockholm:20240604T130000
UID:submissions.pasc-conference.org_PASC24_sess120@linklings.com
SUMMARY:MS3D - Riding the Cambrian Explosion in Hardware for Scientific Co
 mputing
DESCRIPTION:Minisymposium\n\nScientific computing has relied upon commodit
 y components for many years, and currently most popular are x86 CPUs and N
 vidia GPUs. However, there is a Cambrian explosion of new types of hardwar
 e for accelerating scientific codes and as such a wealth of other options 
 are becoming available. These include extremely high-core count CPUs (e.g.
  the CS-2 and GraphCore), highly vectorised and flexible processing elemen
 ts (e.g. AMD’s AI engines, Google TPUs), Field Programmable Gate Arrays (F
 PGAs) and a range of technologies built upon RISC-V (e.g. the 1000 core Es
 peranto accelerator). Furthermore, many of these new architectures are cap
 able of being highly energy efficient and-so potentially provide a route t
 o delivering improved performance at reduced environmental cost. However, 
 a major challenge is around how scientific application developers can leve
 rage these technologies, and whether they actually deliver the benefits th
 at the vendors claim. This minisymposium will bring together experts in de
 veloping these novel technologies and leveraging them for HPC application 
 acceleration, with the scientific community. We will explore the potential
  benefits of these new architectures, which ones optimally suit what appli
 cation properties, and discuss some of the challenges that must be overcom
 e for them to become mainstream in scientific computing.\n\nUsing the Cere
 bras CS2 for Scientific Computing via PETSc\n\nThe Cerebras CS2 is a wafer
  scale processor with 850,000 simple cores connected with a 2D mesh networ
 k. The CS2 has enjoyed tremendous success in the AI space both in performa
 nce and ease of use, allowing users to interact with it through a familiar
  framework - Pytorch. However, it is also possible ...\n\n\nJusts Zarins a
 nd Joseph Lee (EPCC)\n---------------------\nRISC-V@BSC: Paving the Way fo
 r Overcoming HPC Workloads Challenges\n\nRISC-V is an open standard Instru
 ction Set Architecture (ISA) enabling a new era of processor innovation th
 rough open collaboration. It brings new opportunities for researchers and 
 industry to go further than any time before; and Barcelona Supercomputing 
 Center (BSC-CNS) is a good example of that wi...\n\n\nTeresa Cervero (Barc
 elona Supercomputing Center)\n---------------------\nAMD XDNA Architecture
  from Laptops to Datacenters\n\nIn this presentation, I will introduce the
  AMD University Program and the academic solutions available for the commu
 nity. Then, I will introduce the AMD Ryzen AI which is the first in a new 
 class of Neural Processing Units (NPU) designed for x86 computers. Built o
 n the AMD XDNA™ spatial datafl...\n\n\nMario Ruiz (AMD)\n-----------------
 ----\nPanel Session\n\nThis panel will explore the issues and aspects rais
 ed during the mini-symposium, cutting across the themes to explore overlap
  and divergences between the technologies and view points\n\n\nNick Brown 
 and Justs Zarins (EPCC) and Teresa Cervero (Barcelona Supercomputing Cente
 r)\n\nDomain: Computational Methods and Applied Mathematics\n\nSession Cha
 ir: Nick Brown (EPCC)
END:VEVENT
END:VCALENDAR
