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1
Introduction
2
Agenda
3
Island Telescope Array
4
Antennas
5
Compute Cluster
6
RF Stock Mart
7
Satellite Downlink
8
New Science
9
Bing Farming
10
Hybrid Processing
11
BLADE
12
Blade Components
13
WeightVector
14
spanner
15
custom class
16
new method
17
shape class
18
profiling
19
transpositions
20
structs
21
configuration
22
input and output
23
setup and forget
24
kernel compilation
25
Big Farmer
26
High Spectrum Resolution Spectrogram
27
Pipeline
28
Pipeline initialization
29
BladeRunner
30
Synchronous Architecture
31
Production Pipeline
32
Summary
33
Contact
34
Any questions
Description:
Explore a conference talk on BLADE, the Allen Telescope Array CUDA-Accelerated Real-Time DSP Library. Delve into the development of a GPU-based software for processing data from a radio interferometer, focusing on beamforming and high-resolution spectrograms. Learn about overcoming hardware bottlenecks, implementing optimization techniques, and building a distributed pipeline capable of processing massive data streams in real-time. Gain insights into software-defined telescopes, GPU-enabled processing backends, and the modular interface of BLADE that applies advanced optimization techniques automatically.

BLADE - The Allen Telescope Array CUDA-Accelerated Real-Time DSP Library

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