GitHub

Chapter 11: Search Trees

In this chapter, we use a search tree structure to efficiently implement a sorted map. The three most fundamental methods of a map M are M[k] implemented with __getitem, M[k] = v using __setitem__ and ...
GitHub

Modern, type-safe OpenAPI schemas in Python using Pydantic 1.8+ and 2.x

Pydantic allows you to use object, dict, or mixed data for input. The following examples all produce the same OpenAPI result as above: ⚠️ Important: Always use by_alias=True, exclude_none=True when ...
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 ...