SAC-I.2: Invited Talks on Stochastic & Approximate Computing for Signal Processing and Machine Learning II |
| Symposium: Symposium on Stochastic & Approximate Computing for Signal Processing and Machine Learning |
| Session Type: Invited Oral |
| Time: Tuesday, November 14, 14:00 - 15:30 |
| Location: Lasalle |
| 14:00 - 14:30 |
| SAC-I.2.1: The Benefits of Being Erratic: Correcting Errors with Noise-Enhanced Gradient Algorithms |
| Chris Winstead |
| 14:30 - 15:00 |
| SAC-I.2.2: Evolutionary Design for Approximate Computing |
| Lukas Sekanina |
| 15:00 - 15:30 |
| SAC-I.2.3: A Reduced-Precision Zero-Skipping FPGA-Based CNN Inference Accelerator Synthesized from Multi-Threaded C Software |
| Jason Anderson |
