Issued Patents All Time
Showing 25 most recent of 76 patents
| Patent # | Title | Co-Inventors | Date |
|---|---|---|---|
| 12399743 | Padding input data for artificial intelligence accelerators | Cedric Lichtenau, Vijayalakshmi Srinivasan, Sunil K. Shukla, Swagath Venkataramani, Holger Horbach +4 more | 2025-08-26 |
| 12236338 | Single function to perform combined matrix multiplication and bias add operations | Cedric Lichtenau, Vijayalakshmi Srinivasan, Sunil K. Shukla, Swagath Venkataramani | 2025-02-25 |
| 12217158 | Neural network circuitry having floating point format with asymmetric range | Xiao Sun, Jungwook Choi, Naigang Wang, Chia-Yu Chen | 2025-02-04 |
| 12175359 | Machine learning hardware having reduced precision parameter components for efficient parameter update | Xiao Sun, Jungwook Choi, Naigang Wang, Chia-Yu Chen | 2024-12-24 |
| 12141513 | Method to map convolutional layers of deep neural network on a plurality of processing elements with SIMD execution units, private memories, and connected as a 2D systolic processor array | Chia-Yu Chen, Jungwook Choi, Vijayalakshmi Srinivasan, Swagath Venkataramani, Jintao Zhang | 2024-11-12 |
| 12134343 | Device for compensating cut-off line drift of a lamp, lamp comprising the device and vehicle comprising the lamp | Prethyush Tazath Pullaikudy | 2024-11-05 |
| 11977974 | Compression of fully connected / recurrent layers of deep network(s) through enforcing spatial locality to weight matrices and effecting frequency compression | Chia-Yu Chen, Jungwook Choi, Suyog Gupta, Pritish Narayanan | 2024-05-07 |
| 11941111 | Exploiting fine-grained structured weight sparsity in systolic arrays | Sanchari Sen, Swagath Venkataramani, Vijayalakshmi Srinivasan, Sunil K. Shukla | 2024-03-26 |
| 11775257 | Enhanced low precision binary floating-point formatting | Silvia M. Mueller, Ankur Agrawal, Bruce M. Fleischer, Dongsoo Lee | 2023-10-03 |
| 11669489 | Sparse systolic array design | Swagath Venkataramani, Sanchari Sen, Vijayalakshmi Srinivasan, Ankur Agrawal, Sunil K. Shukla +1 more | 2023-06-06 |
| 11620105 | Hybrid floating point representation for deep learning acceleration | Naigang Wang, Jungwook Choi, Ankur Agrawal, Silvia M. Mueller | 2023-04-04 |
| 11604647 | Mixed precision capable hardware for tuning a machine learning model | Xiao Sun, Chia-Yu Chen, Naigang Wang, Jungwook Choi | 2023-03-14 |
| 11551054 | System-aware selective quantization for performance optimized distributed deep learning | Jungwook Choi, Swagath Venkataramani, Vijayalakshmi Srinivasan | 2023-01-10 |
| 11551077 | Statistics-aware weight quantization | Zhuo Wang, Jungwook Choi, Pierce I-Jen Chuang | 2023-01-10 |
| 11455142 | Ultra-low precision floating-point fused multiply-accumulate unit | Ankur Agrawal, Silvia M. Mueller, Bruce M. Fleischer, Balaram Sinharoy, Mingu Kang | 2022-09-27 |
| 11347517 | Reduced precision based programmable and SIMD dataflow architecture | Sunil K. Shukla, Jungwook Choi, Silvia M. Mueller, Bruce M. Fleischer, Vijayalakshmi Srinivasan +2 more | 2022-05-31 |
| 11295208 | Robust gradient weight compression schemes for deep learning applications | Ankur Agrawal, Daniel Brand, Chia-Yu Chen, Jungwook Choi | 2022-04-05 |
| 11223703 | Instruction initialization in a dataflow architecture | Brian W. Curran, Bruce M. Fleischer, Sunil K. Shukla | 2022-01-11 |
| 11216281 | Facilitating data processing using SIMD reduction operations across SIMD lanes | Bruce M. Fleischer, Jinwook Oh, Sunil K. Shukla, Silvia M. Mueller | 2022-01-04 |
| 11195096 | Facilitating neural network efficiency | Jungwook Choi, Charbel Sakr, Swagath Venkataramani, Zhuo Wang | 2021-12-07 |
| 11182127 | Binary floating-point multiply and scale operation for compute-intensive numerical applications and apparatuses | Silvia M. Mueller, Bruce M. Fleischer, Ankur Agrawal | 2021-11-23 |
| 11163533 | Floating point unit for exponential function implementation | Xiao Sun, Ankur Agrawal, Silvia M. Mueller, Kerstin Claudia Schelm | 2021-11-02 |
| 11138010 | Loop management in multi-processor dataflow architecture | Chia-Yu Chen, Jungwook Choi, Brian W. Curran, Bruce M. Fleischer, Jinwook Oh +2 more | 2021-10-05 |
| 10963219 | Hybrid floating point representation for deep learning acceleration | Naigang Wang, Jungwook Choi, Ankur Agrawal, Silvia M. Mueller | 2021-03-30 |
| 10769238 | Matrix multiplication on a systolic array | Chia-Yu Chen, Jungwook Choi, Victor Han, Vijayalakshmi Srinivasan, Jintao Zhang | 2020-09-08 |