Presentation
CIMFlow: An Integrated Framework for Systematic Design and Evaluation of Digital CIM Architectures
DescriptionDigital Compute-in-Memory (CIM) architectures have shown great promise in accelerating deep neural networks (DNNs) by addressing the memory wall bottleneck. However, their development and optimization are hindered by a lack of systematic tools encompassing both software and hardware design spaces. We present CIMFlow, an integrated framework that offers an out-of-the-box workflow for implementing and evaluating DNN workloads on digital CIM platforms. CIMFlow bridges compilation and simulation through a flexible ISA design and tackles digital CIM constraints with advanced optimization strategies in the compilation flow. Our evaluation demonstrates that CIMFlow enables systematic exploration and optimization across diverse configurations.
Event Type
Research Manuscript
TimeTuesday, June 245:15pm - 5:30pm PDT
Location3001, Level 3
DES2B: In-memory and Near-memory Computing Architectures, Applications and Systems
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