CLSA-CIM: A Cross-Layer Scheduling Approach for Computing-in-Memory Architectures

no code implementations • 15 Jan 2024 • Rebecca Pelke, Jose Cubero-Cascante, Nils Bosbach, Felix Staudigl, Rainer Leupers, Jan Moritz Joseph

The demand for efficient machine learning (ML) accelerators is growing rapidly, driving the development of novel computing concepts such as resistive random access memory (RRAM)-based tiled computing-in-memory (CIM) architectures.

Code Generation Scheduling

AIRCHITECT: Learning Custom Architecture Design and Mapping Space

no code implementations • 16 Aug 2021 • Ananda Samajdar, Jan Moritz Joseph, Matthew Denton, Tushar Krishna

We design and train a custom network architecture called AIRCHITECT, which is capable of learning the architecture design space with as high as 94. 3% test accuracy and predicting optimal configurations which achieve on average (GeoMean) of 99. 9% the best possible performance on a test dataset with $10^5$ GEMM workloads.