YoVDO

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

Offered By: CppNow via YouTube

Tags

C++Now Courses CUDA Courses Digital Signal Processing Courses GPU Programming Courses Parallel Processing Courses Real-Time Data Processing Courses Beamforming Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
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.

Syllabus

Introduction
Agenda
Island Telescope Array
Antennas
Compute Cluster
RF Stock Mart
Satellite Downlink
New Science
Bing Farming
Hybrid Processing
BLADE
Blade Components
WeightVector
spanner
custom class
new method
shape class
profiling
transpositions
structs
configuration
input and output
setup and forget
kernel compilation
Big Farmer
High Spectrum Resolution Spectrogram
Pipeline
Pipeline initialization
BladeRunner
Synchronous Architecture
Production Pipeline
Summary
Contact
Any questions


Taught by

CppNow

Related Courses

5G Networks: Executive Briefing
Pluralsight
5G and Edge Computing: Executive Briefing
Pluralsight
5G Essentials
Curtin University via edX
Ultra-dense networks for 5G and its evolution
Universidad Carlos iii de Madrid via edX
Multiple Antenna Communications
YouTube