IEEE

A 28nm 1.644TFLOPS/W Floating-Point Computation SRAM Macro with Variable Precision for Deep Neural Network Inference and Training

Abstract: This paper presents a digital compute-in-memory (CIM) macro for accelerating deep neural networks. The macro provides high-precision computation required for training deep neural networks ...
IEEE

15.4 A 5.99-to-691.1TOPS/W Tensor-Train In-Memory-Computing Processor Using Bit-Level-Sparsity-Based Optimization and Variable-Precision Quantization

Abstract: Computing-in-memory (CIM) improves energy efficiency by enabling parallel multiply-and-accumulate (MAC) operations and reducing memory accesses [1 –4]. However, today’s typical neural ...
GitHub

Databricks SDK for Python (Beta)

Beta: This SDK is supported for production use cases, but we do expect future releases to have some interface changes; see Interface stability. We are keen to hear feedback from you on these SDKs.
GitHub

Python-ASN1 is a simple ASN.1 encoder and decoder for Python 2.7 and 3.5+.

Support BER (parser) and DER (parser and generator) encoding (including indefinite lengths) 100% python, compatible with version 2.7, 3.5 and higher Can be integrated by just including a file into ...