One aspect provides a circuit for in-memory computation. The circuit generally includes multiple bit-lines, multiple word-lines, an array of compute-in-memory cells, and a plurality of accumulators, each accumulator being coupled to a respective one of the multiple bit-lines. Each compute-in-memory cell is coupled to one of the bit-lines and to one o...
Session 34 Overview: Compute-In-Memory 34.1: A 28nm 83.23TFLOPS/W POSIT-Based Compute-in-Memory Macro for High-Accuracy AI Applications 34.2: A 16nm 96Kb Integer/Floating-Point Dual-Mode-Gain-Cell-Computing-in-Memory Macro Achieving 73.3-163.3TOPS/W and 33.2-91.2TFLOPS/W for AI-Edge Devic...
A digital computing-in-memory (DCIM) macro gains increasing attention as a key building block in a deep neural network (DNN) accelerator. Recent macro designs pursue the improvement of three metrics, namely energy efficiency (EE), compute density (CD), and weight density (WD). Improvements in...
(NPCs) in gaming. Generative AI models can be both compute- and memory-intensive, and running both AI and graphics on the local system requires a powerful GPU with dedicated AI hardware. ACE is flexible, in allowing models to be run across cloud and PC, depending on local GPU ...
STM32CubeProgrammer All-in-one multi-OS software tool for programming STM32 products. It provides user-friendly environment for reading, writing, and verifying device memory through both the debug interface (JTAG and SWD) and the bootloader interface (UART, USB DFU, I2C, SPI, and CAN). STM32...
1. System requirements: Windows 10 or above (64 bit, 32GB RAM), NVIDIA graphics card (4GB) with compute capability 6.1 or above. 2. Supports various 3D model formats including B3DM, OSGB, PLY, OBJ, S3MB, I3S, and 3D point cloud formats including PNTS, LAS, PLY, PCD, S3MB, etc....
in computer memory and consume CPU time. A Tierran genotype consists of a string of machine code, and each Tierran “creature” is a instance of some Tierran genotype. A simulation starts when a single self-replicating program, the ancestor, is placed in computer memory and left to ...
Considering the growing prevalence of compute-intensive applications like AI and machine learning, connected cars, and advanced robotics, it’s no wonder that memory designs have had to evolve dramatically to keep pace. As with CPUs and GPUs, memory devices too are growing larger and more complex...
More sophisticated in-memory computing platforms can co-locate compute with the data to run fast, distributed analytics across the data set without impacting transaction processing. This means replicating the operational data set to an OLAP system is no longer necessary. According to Gartner, i...
2.The memory device of claim 1, wherein the sub-array of memory cells includes a plurality of word lines, multiplication of the input activation vector element on one of the plurality of word lines and a weight stored in the sub-array of memory cells to be computed through access to the...