Media Summary: In this video, Veljko Milutinovic and Oliver Pell of Maxeler present: Dennis Abts, Groq Oskar Mencer, Maxeler/Groq May 18, 2022 This talk provides a journey through SDSC Industry Partners Program (IPP) Technology Forum with SambaNova Systems For more IPP events, please visit: ...

Dataflow Computing For Exascale Hpc - Detailed Analysis & Overview

In this video, Veljko Milutinovic and Oliver Pell of Maxeler present: Dennis Abts, Groq Oskar Mencer, Maxeler/Groq May 18, 2022 This talk provides a journey through SDSC Industry Partners Program (IPP) Technology Forum with SambaNova Systems For more IPP events, please visit: ... Multiple simultaneous disruptions are currently under way in both hardware and software for future parallel and In this talk, Maxeler's Tobias Becker discusses how In this video from SC17, Steve Oberlin from NVIDIA presents:

Abstract: With the end of Moore's law, we will be facing many challenges to continue the growth in compute power that is urgently ... For the past twenty-five years, a single model of parallel programming (largely bulk-synchronous MPI), has for the most part been ...

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DataFlow Computing for Exascale HPC
Stanford Seminar - Multiscale Dataflow Computing: Competitive Advantage at the Exascale Frontier
Stanford Seminar -  Dataflow for convergence of AI and HPC - GroqChip!
Reconfigurable Dataflow Systems for Accelerating Machine Learning and HPC
Stanford Seminar - Multiscale Dataflow Computing
CACM July 2015 - Exascale Computing and Big Data
Exascale Computing with Elastic
Back to the Future: Revisiting Data Flow through a Software Lens
Accelerating HPC applications with Maxeler dataflow engines
A New Frontier: Leveraging U.S. High-Performance Computing Leadership in an Exascale Era
HPC Exascale & AI
Post-Moore spatial computing: from chips to clusters.
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DataFlow Computing for Exascale HPC

DataFlow Computing for Exascale HPC

In this video, Veljko Milutinovic and Oliver Pell of Maxeler present:

Stanford Seminar - Multiscale Dataflow Computing: Competitive Advantage at the Exascale Frontier

Stanford Seminar - Multiscale Dataflow Computing: Competitive Advantage at the Exascale Frontier

EE380:

Stanford Seminar -  Dataflow for convergence of AI and HPC - GroqChip!

Stanford Seminar - Dataflow for convergence of AI and HPC - GroqChip!

Dennis Abts, Groq Oskar Mencer, Maxeler/Groq May 18, 2022 This talk provides a journey through

Reconfigurable Dataflow Systems for Accelerating Machine Learning and HPC

Reconfigurable Dataflow Systems for Accelerating Machine Learning and HPC

SDSC Industry Partners Program (IPP) Technology Forum with SambaNova Systems For more IPP events, please visit: ...

Stanford Seminar - Multiscale Dataflow Computing

Stanford Seminar - Multiscale Dataflow Computing

"Mutliscale

CACM July 2015 - Exascale Computing and Big Data

CACM July 2015 - Exascale Computing and Big Data

Description.

Exascale Computing with Elastic

Exascale Computing with Elastic

The Oak Ridge Leadership

Back to the Future: Revisiting Data Flow through a Software Lens

Back to the Future: Revisiting Data Flow through a Software Lens

Multiple simultaneous disruptions are currently under way in both hardware and software for future parallel and

Accelerating HPC applications with Maxeler dataflow engines

Accelerating HPC applications with Maxeler dataflow engines

In this talk, Maxeler's Tobias Becker discusses how

A New Frontier: Leveraging U.S. High-Performance Computing Leadership in an Exascale Era

A New Frontier: Leveraging U.S. High-Performance Computing Leadership in an Exascale Era

High-performance computing

HPC Exascale & AI

HPC Exascale & AI

In this video from SC17, Steve Oberlin from NVIDIA presents:

Post-Moore spatial computing: from chips to clusters.

Post-Moore spatial computing: from chips to clusters.

Abstract: With the end of Moore's law, we will be facing many challenges to continue the growth in compute power that is urgently ...

John Shalf - Exascale Computer Architecture Trends and Implications for Programming Systems

John Shalf - Exascale Computer Architecture Trends and Implications for Programming Systems

For the past twenty-five years, a single model of parallel programming (largely bulk-synchronous MPI), has for the most part been ...