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Organization

Cerebras Systems
Contributors
Mathias Jacquelin
Leighton Wilson
Claire Zhang
Presentations
Birds of a Feather
Advances in FPGA Programming and Technology for HPC
Architecture and Networks
TP
XO/EX
Workshop
Massively Distributed Finite-Volume Flux Computation
Algorithms
Heterogeneous Computing
Large Scale Systems
W
Tutorial
Programming Novel AI Accelerators for Scientific Computing
Accelerators
Artificial Intelligence/Machine Learning
TUT
ACM Gordon Bell Finalist
Awards
Scaling the “Memory Wall” for Multi-Dimensional Seismic Processing with Algebraic Compression on Cerebras CS-2 Systems
TP
Workshop
symPACK: A GPU-Capable Fan-Out Sparse Cholesky Solver
Applications
Distributed Computing
Compilers
Heterogeneous Computing
Linear Algebra
Message Passing
Programming Frameworks and System Software
Task Parallelism
Tensors
W
Booth
2043
Exhibitor Description
Cerebras is a computer systems company dedicated to accelerating deep learning. The pioneering Wafer-Scale Engine (WSE-2) – the largest chip ever built – is at the heart of our deep learning system, the Cerebras CS-2. The WSE-2 contains 2.6 trillion transistors and covers more than 46,225 square millimeters of silicon. The largest graphics processor on the market has 54 billion transistors and covers 815 square millimeters. In artificial intelligence work, large chips process information more quickly, producing answers in less time. As a result, neural networks that in the past took months to train, can now train in minutes on the Cerebras CS-2 powered by the WSE-2.
Products / Services
Artificial Intelligence (AI)
Website
Cerebras Systems
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