English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Existing logic-in-memory (LiM) research is limited to generating mappings andmicro-operations. In this paper, we present~\emph{MemSPICE}, a novel frameworkthat addresses this gap by automatically generating both the netlist andtestbench needed to evaluate the LiM on a memristive crossbar. MemSPICE goesbeyond conventional approaches by providing energy estimation scripts tocalculate the precise energy consumption of the testbench at the SPICE level.We propose an automated framework that utilizes the mapping obtained from theSIMPLER tool to perform accurate energy estimation through SPICE simulations.To the best of our knowledge, no existing framework is capable of generating aSPICE netlist from a hardware description language. By offering a comprehensivesolution for SPICE-based netlist generation, testbench creation, and accurateenergy estimation, MemSPICE empowers researchers and engineers working onmemristor-based LiM to enhance their understanding and optimization of energyusage in these systems. Finally, we tested the circuits from the ISCAS'85benchmark on MemSPICE and conducted a detailed energy analysis.

MemSPICE: Automated Simulation and Energy Estimation Framework for MAGIC-Based Logic-in-Memory