RankMap: A Framework for Distributed Learning From Dense Data Sets.
A Hierarchical Model for Device Placement
A Hierarchical Model for Device Placement
Deep3: Leveraging Three Levels of Parallelism for Efficient Deep Learning.
ExtDict: Extensible Dictionaries for Data- and Platform-Aware Large-Scale Learning.
TinyDL: Just-in-time deep learning solution for constrained embedded systems.
RISE: An Automated Framework for Real-Time Intelligent Video Surveillance on FPGA.
Perform-ML: performance optimized machine learning by platform and content aware customization.
CryptoML: Secure outsourcing of big data machine learning applications.
Going deeper than deep learning for massive data analytics under physical constraints.
Automated Real-Time Analysis of Streaming Big and Dense Data on Reconfigurable Platforms.
AHEAD: automated framework for hardware accelerated iterative data analysis
Phase Change Memory Write Cost Minimization by Data Encoding.
Flexible Transformations For Learning Big Data
DA Systemization of Knowledge: A Catalog of Prior Forward-Looking Initiatives
SSketch: An Automated Framework for Streaming Sketch-Based Analysis of Big Data on FPGA
Automated checkpointing for enabling intensive applications on energy harvesting devices
Idetic: A high-level synthesis approach for enabling long computations on transiently-powered ASICs.
HypoEnergy. Hybrid supercapacitor-battery power-supply optimization for Energy efficiency.
Real time emulations: foundation and applications
A unified submodular framework for multimodal IC Trojan detection