An Artistic Visualization of Music Modeling a Synesthetic Experience. - Matthew Joseph Adiletta; Oliver Thomas (CoRR, 2020)

Optimization Techniques to Improve Inference Performance of a Forward Propagating Neural Network on an FPGA. - Matthew Joseph Adiletta; Brian Flanagan (CoRR, 2020)

Characterizing the Scalability of Graph Convolutional Networks on Intel® PIUMA. - Matthew Joseph Adiletta; Jesmin Jahan Tithi; Emmanouil-Ioannis Farsarakis; Gerasimos Gerogiannis; Robert Adolf; Robert Benke; Sidharth Kashyap; Samuel Hsia; Kartik Lakhotia; Fabrizio Petrini; Gu-Yeon Wei; David Brooks 001 (ISPASS, 2023)

A Reinforcement Learning Approach to Optimize Cache Prefetcher Aggressiveness at Run-Time. - Matthew Joseph Adiletta; Farah Fargo; Mitchell Diamond; Jack Adiletta; Olivier Franza; Simon C. Steely Jr. (SDS, 2023)

Intelligent cache prefetchers in HPC architecture. - Farah Fargo; Mitchell Diamond; Olivier Franza; Paul Foose; Jack Adiletta; Matthew Joseph Adiletta; Simon C. Steely Jr. (Clust. Comput., 2025)