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1
Intro
2
Moores Law
3
Control Flow Model
4
Dataflow Model
5
About MaxSeller
6
Success Stories
7
Building a Dataflow Computer
8
Dataflow Code
9
Complex Graphs
10
Building a Machine
11
Physical Representation
12
PCIe
13
Memory
14
Optical Interconnect
15
Network
16
Hardware
17
Example
18
Memory Hierarchy
19
Aerial View
20
Data Flow
21
Performance
22
Compute
23
Power Efficiency
24
Software Integration
25
App Gallery
26
Finite Difference
27
Machine Learning
28
QA
29
Graph
Description:
Explore the cutting-edge world of Multiscale Dataflow Computing in this Stanford University seminar. Delve into the competitive advantages of this technology at the Exascale frontier, presented by Brian Boucher from Maxeler Technologies. Learn about the motivation behind dataflow computing, its role in overcoming frequency scaling limitations, and its push towards exascale machines. Discover the Maxeler dataflow ecosystem, including MaxJ code and DFE hardware, and see how dataflow principles are applied to the Quantum ESPRESSO HPC software package. Gain insights into energy-efficient high-performance computing and its applications in industries ranging from energy to finance and defense. Understand how dataflow computing maximizes performance density by building computers around specific problems, eliminating the need for elaborate caching and decoding machinery found in standard processors.

Multiscale Dataflow Computing - Competitive Advantage at the Exascale Frontier

Stanford University
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