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Dataflow Programming
[CODAI 2025] Stephen Neuendorffer - MLIR-based Programming for Spatial Architectures
Stanford Seminar - Dataflow for convergence of AI and HPC - GroqChip!
[PLDI 2026] Meadows CD - EGRAPHS (Jun 15th)
Lasp: A Model For Distributed, Convergent, Edge Computation
Analytics Architecture: Data Pipeline Engineering Strategies
[PLDI'25] Programming by Navigation
Designing Data-intensive Applications with Martin Kleppmann
Messaging Patterns for Modern Software Solutions - Irina Dominte - NDC Oslo 2025
Turning Loop Nests Into Statically Scheduled Dataflow Architectures (Part 2)
Stanford CS149 I 2023 I Lecture 9 - Distributed Data-Parallel Computing Using Spark
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Last Updated: September 28, 2026
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Summary
Task-Based Tensor Computations on Modern GPUs (Video, Dennis Abts, Groq Oskar Mencer, Maxeler/Groq May 18, 2022 This talk provides a journey through Author: Chris Meiklejohn Abstract: Consistency is hard and coordination is expensive. As we move into the world of connected ... Your data pipelines may be moving more data than ever while still failing to deliver information that is trustworthy, timely, and ... Martin Kleppmann is a researcher and the author of Designing Data-Intensive Applications, one of the most influential books on ... This talk was recorded at NDC Oslo in Oslo, Norway. Attend the next ... From a talk I gave at Stanford to Pat Hanrahan's research group. Producer-consumer locality, RDD abstraction, Spark implementation and scheduling To along with the course, visit the ...
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