Reconfigurable Dataflow Systems For Accelerating Machine Learning And Hpc

By Editorial Team · September 29, 2026 · 9 min read

Reconfigurable Dataflow Systems For Accelerating Machine Learning And Hpc Information Guide

  1. Background on Reconfigurable Dataflow Systems For Accelerating Machine Learning And Hpc
  2. Main Features
  3. Latest News
  4. Detailed Analysis
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Background on Reconfigurable Dataflow Systems For Accelerating Machine Learning And Hpc

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Main Features

Information Plasticine: A Reconfigurable Dataflow Architecture for Software 2.0, Kunle Olukotun, Stanford-Part 1 News
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Latest News

Accelerating Software 2.0 (SambaNova) News
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Plasticine: A Reconfigurable Dataflow Architecture for Software 2.0, Kunle Olukotun, Stanford-Part 2
Plasticine: A Reconfigurable Dataflow Architecture for Software 2.0, Kunle Olukotun, Stanford-Part 2
Deep Learning Dataflow Accelerators
Deep Learning Dataflow Accelerators
Accelerating HPC applications with Maxeler dataflow engines
Accelerating HPC applications with Maxeler dataflow engines
Challenges in Acceleration of Transformers on Dataflow Architecture | Mark Grobman
Challenges in Acceleration of Transformers on Dataflow Architecture | Mark Grobman
Dataflow engines: an increasingly mainstream computer architecture
Dataflow engines: an increasingly mainstream computer architecture
Dataflow Hardware Acceleration of DNNs with High-Level Synthesis | Guest Lecture at Yale University
Dataflow Hardware Acceleration of DNNs with High-Level Synthesis | Guest Lecture at Yale University
SC21 Invited Talk: Kunle Olukotun, Let the Data Flow!
SC21 Invited Talk: Kunle Olukotun, Let the Data Flow!
MANIC: A Vector-Dataflow Architecture for Ultra-low-power Embedded Systems
MANIC: A Vector-Dataflow Architecture for Ultra-low-power Embedded Systems
PROHEXA: Programming environments and models for heterogeneous Exascale Computing Systems
PROHEXA: Programming environments and models for heterogeneous Exascale Computing Systems
An Architectural Framework for Accelerating Dynamic Parallel Algorithms on Reconfigurable Hardware
An Architectural Framework for Accelerating Dynamic Parallel Algorithms on Reconfigurable Hardware
CAII 4/26 Spring Seminar featuring @stanford Professor Kunle Olukotun
CAII 4/26 Spring Seminar featuring @stanford Professor Kunle Olukotun

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Last Updated: September 29, 2026

Final Thoughts

DataFlow Computing for Exascale HPC Guide
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Summary

SDSC Industry Partners Program (IPP) Technology Forum with SambaNova Date & Time: Thursday April 18, 2019, 6:00-8:00PM Abstract: The use of SambaNova's presentation for the ISC2020 International Workshop on In this video, Veljko Milutinovic and Oliver Pell of Maxeler present: In this talk, Maxeler's Tobias Becker discusses how AI On Chip 2023 Technion Sarona Campus, Tel Aviv. Tobias Becker (Maxeler) explains how As the benefits from Moore's Law diminish, future computing performance improvements must rely on specialized accelerators for ... 0:00 - Introduction 7:51 - Keynote: " MICRO-51 Lightning Talk Paper: csl.cornell.edu/~tchen/files/parallelxl-micro18.pdf.

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