| Application Briefs |
| GSI’s Synthetic Aperture Radar (SAR) |
| Sales Briefs |
| GSI Technology Takes On DSP With Deep Learning |
Molecular Search with the Gemini Associative Processing Unit |
Facial Recognition with the Gemini Associative Processing Unit |
| Whitepapers |
| In-Memory Acceleration for Big Data |
Gemini APU: Enabling High Performance Billion-Scale Similarity Search |
| Introducing a Facial Recognition Solution |
In-Place Associative Computing: A New Concept in Processor Design |
In-Place Associative Computing: An Introduction to the APU Software |
In-Place Computing: Scaling to 1M Similarity Searches per Second |
| Blogs |
| A Beginner’s Guide to Segmentation in Satellite Images |
Getting Started with Satellite Data Processing |
| Classification with Similarity Search: Fast and Accurate Radio Wave Classification |
Radio Wave Classifier In Python: How I Built A ResNet Radio Wave Classifier With Keras |
Deep Learning For Radio Waves: Using Residual Neural Networks For Signal Classification |
An Overview Of Signal Classification: From Fourier Transforms To Deep Neural Networks |
| Rad-Hard Datasheets |
Burst of 2
SigmaQuad-II+
(288Mb/144Mb/72Mb)
CCGA/LGA Package |
Burst of 4
SigmaQuad-II+
(288Mb/144Mb/72Mb)
CCGA/LGA Package |
Burst of 2
SigmaQuad-II+
(288Mb)
BGA Package |
Burst of 4
SigmaQuad-II+
(288Mb)
BGA Package |
| Rad-Tolerant Datasheets |
Burst of 2
SigmaQuad-II+
(288Mb/144Mb/72Mb) |
Burst of 4
SigmaQuad-II+
(288Mb/144Mb/72Mb) |
Synchronous Burst
(144Mb/72Mb/36Mb) |
No Bus Turnaround
(144Mb/72Mb/36Mb) |
| Brochure |
| Military Temp Brochure |
