event

SC23

November 13–18, 2023

Booth #2048 

The International Conference for High Performance Computing, Networking, Storage, and Analysis

000 days 00 hours 00 minutes 00 seconds

Tutorial

Programming Novel AI Accelerators for Scientific Computing


Session time: Sunday, Nov 12, 2023
Time: 8:30am – 12:00am MST
Location: Rm 203

session

14th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Heterogeneous Systems


Session time: Tuesday, Nov 13, 2023
Time: 11:30am – 11:50am MST
Location: 710

Session Title: Massively Distributed Finite-Volume Flux Computation
Partner: TotalEnergies and Lawrence Livermore National Laboratory

Session

ACM Student Research Competition Posters Display


Session time: Tuesday, Nov 14, 2023
Time: 10:00am – 5:00pm MST
Location: 710

Session Title: Near-Optimal Reduce on the Cerebras Wafer-Scale Engine
Partner: ETH Zürich

award

ACM Gordon Bell Finalists Presentations


Session time: Wednesday, Nov 15, 2023
Time: 4:30pm – 5:00pm MST
Location: 501-502

Session Title: Scaling the “Memory Wall” for Multi-Dimensional Seismic Processing with Algebraic Compression on Cerebras CS-2 Systems
Partner: King Abdullah University of Science and Technology (KAUST)

session

Birds of a Feather


Session time: Wednesday, Nov 15, 2023
Time: 5:15pm – 6:45pm MST
Location: 503-504

Session Title: Advances in FPGA Programming and Technology for HPC

blog

Context is Everything: Why Maximum Sequence Length Matters

GPU-Impossible™ sequence lengths on Cerebras systems may enable breakthroughs in Natural Language Understanding, drug discovery and genomics.

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Blog

Cerebras Sets Record for Largest AI Models Ever Trained on Single Device

Our customers can easily train and reconfigure GPT-3 and GPT-J language models with up to 20 billion parameters on a single CS-2 system

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Blog

TotalEnergies and Cerebras Create Massively Scalable Stencil Algorithm

TotalEnergies used the Cerebras CS-2 system to turn a problem long accepted to be memory-bound into compute-bound. On a benchmark case inspired by a seismic kernel used to image the Earth, the CS-2 delivered more than 200x performance compared to a NVIDIA® A100 GPU.

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