| 11836608 |
Convolution acceleration with embedded vector decompression |
Thomas Boesch, Surinder Singh, Carmine CAPPETTA |
2023-12-05 |
| 11836346 |
Tagged memory operated at lower vmin in error tolerant system |
Nitin Chawla, Anuj Grover, Thomas Boesch, Surinder Singh, Manuj AYODHYAWASI |
2023-12-05 |
| 11829730 |
Elements for in-memory compute |
Nitin Chawla, Tanmoy Roy, Anuj Grover |
2023-11-28 |
| 11823771 |
Streaming access memory device, system and method |
Nitin Chawla, Thomas Boesch, Anuj Grover, Surinder Singh |
2023-11-21 |
| 11740870 |
Convolutional network hardware accelerator device, system and method |
Thomas Boesch, Carmine CAPPETTA, Ugo Maria Iannuzzi |
2023-08-29 |
| 11726543 |
Computing system power management device, system and method |
Nitin Chawla, Anuj Grover, Kedar Janardan Dhori, Thomas Boesch, Promod Kumar |
2023-08-15 |
| 11710032 |
Pooling unit for deep learning acceleration |
Surinder Singh, Thomas Boesch |
2023-07-25 |
| 11687762 |
Acceleration unit for a deep learning engine |
Surinder Singh, Thomas Boesch |
2023-06-27 |
| 11675943 |
Tool to create a reconfigurable interconnect framework |
Thomas Boesch |
2023-06-13 |
| 11610362 |
Data volume sculptor for deep learning acceleration |
Surinder Singh, Thomas Boesch |
2023-03-21 |
| 11593609 |
Vector quantization decoding hardware unit for real-time dynamic decompression for parameters of neural networks |
Carmine CAPPETTA, Thomas Boesch, Surinder Singh, Saumya Suneja |
2023-02-28 |
| 11586907 |
Arithmetic unit for deep learning acceleration |
Surinder Singh, Thomas Boesch |
2023-02-21 |
| 11562115 |
Configurable accelerator framework including a stream switch having a plurality of unidirectional stream links |
Thomas Boesch |
2023-01-24 |