Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
August 4, 2026Machine Learning Science and TechnologyOpen Access

PQuantML: a tool for end-to-end hardware-aware model compression

View Full Paper
Ask AI
Bookmark
Share

Authors

RNRoope Oskari NiemiAPAnastasiia PetrovychADArghya Ranjan Das

Discussion

Loading...

Member takes

Overview

Key Points

Key points are not available for this paper at this time.

Cite This Study

Niemi et al. (2026) studied this question.

synapsesocial.com/papers/6ab210d6a9ea7cbecff93005https://doi.org/10.1088/2632-2153/ae94e3
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Fast inference of deep neural networks in FPGAs for particle physics2018 · 432 citations
  2. 2LHC Machine2008 · 1,822 citations
  3. 3PACA: A Pattern Pruning Algorithm and Channel-Fused High PE Utilization Accelerator for CNNs2022 · 13 citations
  4. 4MetaML-Pro: Cross-Stage Design Flow Automation for Efficient Deep Learning Acceleration2026 · 3 citations
  5. 5hls4ml: A Flexible, Open Source Platform for Deep Learning Acceleration on Reconfigurable Hardware2026 · 7 citations