An evaluation system for application specific architectures. - Alessandro De Gloria; Paolo Faraboschi (MICRO, 1990)

A Boltzmann Machine approach to code optimization. - Alessandro De Gloria; Paolo Faraboschi (Parallel Comput., 1991)

Instruction-level Parallelism in Prolog: Analysis and Architectural Support. - Alessandro De Gloria; Paolo Faraboschi (ISCA, 1992)

A non-deterministic scheduler for a software pipelining compiler. - Alessandro De Gloria; Paolo Faraboschi; Mauro Olivieri (MICRO, 1992)

Massive parallelism in multi-level simulation of VLSI circuits. - Alessandro De Gloria; Paolo Faraboschi (Integr., 1992)

A dedicated massively parallel architecture for the Boltzmann machine. - Alessandro De Gloria; Paolo Faraboschi; Sandro Ridella (Parallel Comput., 1992)

An analysis of dynamic scheduling techniques for symbolic applications. - Alessandra Costa; Alessandro De Gloria; Paolo Faraboschi; Mauro Olivieri (MICRO, 1993)

An asynchronous approach to the RISC design of a micro-controller. - Alessandra Costa; Alessandro De Gloria; Paolo Faraboschi; Giovanni Nateri; Mauro Olivieri (Microprocess. Microprogramming, 1993)

A parallel architecture for the Color Doppler flow technique in ultrasound imaging. - Alessandra Costa; Alessandro De Gloria; Paolo Faraboschi; Mauro Olivieri (Microprocess. Microprogramming, 1993)

A delay insensitive approach to the VLSI design of a DRAM controller. - Alessandro De Gloria; Paolo Faraboschi; Mauro Olivieri (Microprocess. Microprogramming, 1993)

Design of a massively parallel SIMD architecture for the Boltzmann machine. - Alessandro De Gloria; Paolo Faraboschi; Mauro Olivieri (Microprocess. Microprogramming, 1993)

Delay insensitive micro-pipelined combinational logic. - Alessandro De Gloria; Paolo Faraboschi; Mauro Olivieri (Microprocess. Microprogramming, 1993)

Clustered Boltzmann Machines: Massively Parallel Architectures for Constrained Optimization Problems. - Alessandro De Gloria; Paolo Faraboschi; Mauro Olivieri (Parallel Comput., 1993)

Efficient implementation of the Boltzmann machine algorithm. - Alessandro De Gloria; Paolo Faraboschi; Mauro Olivieri (IEEE Trans. Neural Networks, 1993)

An evaluation system for distributed-time VHDL simulation. - Alessandra Costa; Alessandro De Gloria; Paolo Faraboschi; Mauro Olivieri (PADS, 1994)

Block placement with a Boltzmann Machine. - Alessandro De Gloria; Paolo Faraboschi; Mauro Olivieri (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 1994)

Hardware solutions for fuzzy control. - Alessandra Costa; Alessandro De Gloria; Paolo Faraboschi; Andrea Pagni; Gianguido Rizzotto (Proc. IEEE, 1995)

Custom-fit Processors: Letting Applications Define Architectures. - Joseph A. Fisher; Paolo Faraboschi; Giuseppe Desoli (MICRO, 1996)

The latest word in digital and media processing. - Paolo Faraboschi; Giuseppe Desoli; Joseph A. Fisher (IEEE Signal Process. Mag., 1998)

Lx: a technology platform for customizable VLIW embedded processing. - Paolo Faraboschi; Geoffrey Brown; Joseph A. Fisher; Giuseppe Desoli; Fred Homewood (ISCA, 2000)

Instruction scheduling for instruction level parallel processors. - Paolo Faraboschi; Joseph A. Fisher; Cliff Young (Proc. IEEE, 2001)

A New Facility for Dynamic Control of Program Execution: DELI. - Giuseppe Desoli; Nikolay Mateev; Evelyn Duesterwald; Paolo Faraboschi; Josh Fisher (EMSOFT, 2002)

DELI: a new run-time control point. - Giuseppe Desoli; Nikolay Mateev; Evelyn Duesterwald; Paolo Faraboschi; Joseph A. Fisher (MICRO, 2002)

Embedded computing - a VLIW approach to architecture, compilers, and tools. - Joseph A. Fisher; Paolo Faraboschi; Cliff Young (Morgan Kaufmann, 2005)

Document digitization lifecycle for complex magazine collection. - Sherif M. Yacoub; John Burns 003; Paolo Faraboschi; Daniel Ortega; José L. Abad Peiro; Vinay Saxena (ACM Symposium on Document Engineering, 2005)

Combining Simulation and Virtualization through Dynamic Sampling. - Ayose Falcón; Paolo Faraboschi; Daniel Ortega (ISPASS, 2007)

An Adaptive Synchronization Technique for Parallel Simulation of Networked Clusters. - Ayose Falcón; Paolo Faraboschi; Daniel Ortega (ISPASS, 2008)

Operating System Support for NVM+DRAM Hybrid Main Memory. - Jeffrey C. Mogul; Eduardo Argollo; Mehul A. Shah; Paolo Faraboschi (HotOS, 2009)

High-speed network modeling for full system simulation. - Diego Lugones; Daniel Franco 002; Dolores Rexachs; Juan C. Moure; Emilio Luque; Eduardo Argollo; Ayose Falcón; Daniel Ortega; Paolo Faraboschi (IISWC, 2009)

How to simulate 1000 cores. - Matteo Monchiero; Jung Ho Ahn; Ayose Falcón; Daniel Ortega; Paolo Faraboschi (SIGARCH Comput. Archit. News, 2009)

COTSon: infrastructure for full system simulation. - Eduardo Argollo; Ayose Falcón; Paolo Faraboschi; Matteo Monchiero; Daniel Ortega (ACM SIGOPS Oper. Syst. Rev., 2009)

System-level integrated server architectures for scale-out datacenters. - Sheng Li 007; Kevin T. Lim; Paolo Faraboschi; Jichuan Chang; Parthasarathy Ranganathan; Norman P. Jouppi (MICRO, 2011)

VLIW Processors. - Joseph A. Fisher; Paolo Faraboschi; Cliff Young (Encyclopedia of Parallel Computing, 2011)

Exploring the performance and mapping of HPC applications to platforms in the cloud. - Abhishek Gupta 002; Laxmikant V. Kalé; Dejan S. Milojicic; Paolo Faraboschi; Richard Kaufmann; Verdi March; Filippo Gioachin; Chun Hui Suen; Bu-Sung Lee (HPDC, 2012)

Reservation-based Network-on-Chip Timing Models for Large-scale Architectural Simulation. - Javier Navaridas; Behram Khan; Salman Khan 002; Paolo Faraboschi; Mikel Luján (NOCS, 2012)

Simulating the future kilo-x86-64 core processors and their infrastructure. - Antoni Portero; Alberto Scionti; Zhibin Yu; Paolo Faraboschi; Caroline Concatto; Luigi Carro; Arne Garbade; Sebastian Weis; Theo Ungerer; Roberto Giorgi (SpringSim (ANSS), 2012)

Top Picks from the 2011 Computer Architecture Conferences. - Paolo Faraboschi; T. N. Vijaykumar (IEEE Micro, 2012)

The Who, What, Why, and How of High Performance Computing in the Cloud. - Abhishek Gupta 002; Laxmikant V. Kalé; Filippo Gioachin; Verdi March; Chun Hui Suen; Bu-Sung Lee; Paolo Faraboschi; Richard Kaufmann; Dejan S. Milojicic (CloudCom (1), 2013)

The TERAFLUX Project: Exploiting the DataFlow Paradigm in Next Generation Teradevices. - Marco Solinas; Rosa M. Badia; François Bodin; Albert Cohen 001; Paraskevas Evripidou; Paolo Faraboschi; Bernhard Fechner; Guang R. Gao; Arne Garbade; Sylvain Girbal; Daniel Goodman 001; Behram Khan; et al. (DSD, 2013)

HPC-Aware VM Placement in Infrastructure Clouds. - Abhishek Gupta 002; Laxmikant V. Kalé; Dejan S. Milojicic; Paolo Faraboschi; Susanne M. Balle (IC2E, 2013)

An Introduction to DF-Threads and their Execution Model. - Roberto Giorgi; Paolo Faraboschi (SBAC-PAD (Workshops), 2014)

TERAFLUX: Harnessing dataflow in next generation teradevices. - Roberto Giorgi; Rosa M. Badia; François Bodin; Albert Cohen 001; Paraskevas Evripidou; Paolo Faraboschi; Bernhard Fechner; Guang R. Gao; Arne Garbade; Rahulkumar Gayatri; Sylvain Girbal; Daniel Goodman 001; et al. (Microprocess. Microsystems, 2014)

Beyond Processor-centric Operating Systems. - Paolo Faraboschi; Kimberly Keeton; Tim Marsland; Dejan S. Milojicic (HotOS, 2015)

Evaluating the Combined Impact of Node Architecture and Cloud Workload Characteristics on Network Traffic and Performance/Cost. - Diman Zad Tootaghaj; Farshid Farhat; Mohammad Arjomand; Paolo Faraboschi; Mahmut Taylan Kandemir; Anand Sivasubramaniam; Chita R. Das (IISWC, 2015)

What Will 2022 Look Like? The IEEE CS 2022 Report. - Hasan Alkhatib; Paolo Faraboschi; Eitan Frachtenberg; Hironori Kasahara; Danny B. Lange; Phillip A. Laplante; Arif Merchant; Dejan S. Milojicic; Karsten Schwan (Computer, 2015)

Buri: Scaling Big-Memory Computing with Hardware-Based Memory Expansion. - Jishen Zhao; Sheng Li 007; Jichuan Chang; John L. Byrne; Laura L. Ramirez; Kevin T. Lim; Yuan Xie 001; Paolo Faraboschi (ACM Trans. Archit. Code Optim., 2015)

Architectural support for task scheduling: hardware scheduling for dataflow on NUMA systems. - Behram Khan; Daniel Goodman 001; Salman Khan 002; Will Toms; Paolo Faraboschi; Mikel Luján; Ian Watson (J. Supercomput., 2015)

SpaceJMP: Programming with Multiple Virtual Address Spaces. - Izzat El Hajj; Alexander Merritt; Gerd Zellweger; Dejan S. Milojicic; Reto Achermann; Paolo Faraboschi; Wen-mei W. Hwu; Timothy Roscoe; Karsten Schwan (ASPLOS, 2016)

Enabling technologies for memory compression: Metadata, mapping, and prediction. - Arjun Deb; Paolo Faraboschi; Ali Shafiee; Naveen Muralimanohar; Rajeev Balasubramonian; Robert Schreiber (ICCD, 2016)

A unified memory network architecture for in-memory computing in commodity servers. - Jia Zhan; Itir Akgun; Jishen Zhao; Al Davis; Paolo Faraboschi; Yuangang Wang; Yuan Xie 001 (MICRO, 2016)

Parallel Graph Processing: Prejudice and State of the Art. - Assaf Eisenman; Ludmila Cherkasova; Guilherme Magalhaes; Qiong Cai; Paolo Faraboschi; Sachin Katti (ICPE, 2016)

Evaluating and Improving the Performance and Scheduling of HPC Applications in Cloud. - Abhishek Gupta 002; Paolo Faraboschi; Filippo Gioachin; Laxmikant V. Kalé; Richard Kaufmann; Bu-Sung Lee; Verdi March; Dejan S. Milojicic; Chun Hui Suen (IEEE Trans. Cloud Comput., 2016)

Separating Translation from Protection in Address Spaces with Dynamic Remapping. - Reto Achermann; Chris I. Dalton; Paolo Faraboschi; Moritz Hoffmann 001; Dejan S. Milojicic; Geoffrey Ndu; Alexander Richardson 001; Timothy Roscoe; Adrian L. Shaw; Robert N. M. Watson (HotOS, 2017)

Computing In-Memory, Revisited. - Dejan S. Milojicic; Kirk Bresniker; Gary Campbell; Paolo Faraboschi; John Paul Strachan; Stan Williams (ICDCS, 2018)

Hardware-Software Co-Design for an Analog-Digital Accelerator for Machine Learning. - Joao Ambrosi; Aayush Ankit; Rodrigo Antunes; Sai Rahul Chalamalasetti; Soumitra Chatterjee; Izzat El Hajj; Guilherme Fachini; Paolo Faraboschi; Martin Foltin; Sitao Huang; Wen-Mei Hwu; Gustavo Knuppe; et al. (ICRC, 2018)

Computing in the Cambrian Era Plenary Talk. - Paolo Faraboschi (ICRC, 2018)

PUMA: A Programmable Ultra-efficient Memristor-based Accelerator for Machine Learning Inference. - Aayush Ankit; Izzat El Hajj; Sai Rahul Chalamalasetti; Geoffrey Ndu; Martin Foltin; R. Stanley Williams; Paolo Faraboschi; Wen-mei W. Hwu; John Paul Strachan; Kaushik Roy 001; Dejan S. Milojicic (ASPLOS, 2019)

Gen-Z Chipsetfor Exascale Fabrics. - Patrick Knebel; Dan Berkram; Al Davis; Darel Emmot; Paolo Faraboschi; Gary Gostin (Hot Chips Symposium, 2019)

Rack-Scale Capabilities: Fine-Grained Protection for Large-Scale Memories. - Kirk M. Bresniker; Paolo Faraboschi; Avi Mendelson; Dejan S. Milojicic; Timothy Roscoe; Robert N. M. Watson (Computer, 2019)

Technology Predictions: Art, Science, and Fashion. - Paolo Faraboschi; Eitan Frachtenberg; Phillip A. Laplante; Katherine Mansfield; Dejan S. Milojicic (Computer, 2019)

Memory-Side Protection With a Capability Enforcement Co-Processor. - Leonid Azriel; Lukas Humbel; Reto Achermann; Alex Richardson 001; Moritz Hoffmann 001; Avi Mendelson; Timothy Roscoe; Robert N. M. Watson; Paolo Faraboschi; Dejan S. Milojicic (ACM Trans. Archit. Code Optim., 2019)

Mixed Precision Quantization for ReRAM-based DNN Inference Accelerators. - Sitao Huang; Aayush Ankit; Plínio Silveira; Rodrigo Antunes; Sai Rahul Chalamalasetti; Izzat El Hajj; Dong Eun Kim; Glaucimar Aguiar; Pedro Bruel; Sergey Serebryakov; Cong Xu; Can Li; et al. (ASP-DAC, 2021)

Future of HPC: Diversifying Heterogeneity. - Dejan S. Milojicic; Paolo Faraboschi; Nicolas Dubé; Duncan Roweth (DATE, 2021)

Data-Aware Storage Tiering for Deep Learning. - Cong Xu; Suparna Bhattacharya; Martin Foltin; Suren Byna; Paolo Faraboschi (PDSW@SC, 2021)

A Python-based High-Level Programming Flow for CPU-FPGA Heterogeneous Systems : (Invited Paper). - Sitao Huang; Kun Wu 002; Sai Rahul Chalamalasetti; Izzat El Hajj; Cong Xu; Paolo Faraboschi; Deming Chen (PEHC@SC, 2021)

Future of HPC: The Internet of Workflows. - Nicolas Dubé; Duncan Roweth; Paolo Faraboschi; Dejan S. Milojicic (IEEE Internet Comput., 2021)

Multi-Agent Reinforcement Learning Controller to Maximize Energy Efficiency for Multi-Generator Industrial Wave Energy Converter. - Soumyendu Sarkar; Vineet Gundecha; Alexander Shmakov; Sahand Ghorbanpour; Ashwin Ramesh Babu; Paolo Faraboschi; Mathieu Cocho; Alexandre Pichard; Jonathan Fievez (AAAI, 2022)

Self-learning Data Foundation for Scientific AI. - Annmary Justine; Sergey Serebryakov; Cong Xu; Aalap Tripathy; Suparna Bhattacharya; Paolo Faraboschi; Martin Foltin (SMC, 2022)

Virtual Worlds (Metaverse): From Skepticism, to Fear, to Immersive Opportunities. - Paolo Faraboschi; Eitan Frachtenberg; Phil Laplante; Dejan S. Milojicic; Roberto Saracco (Computer, 2022)

Towards Rapid Autonomous Electron Microscopy with Active Meta-Learning. - Gayathri Saranathan; Martin Foltin; Aalap Tripathy; Maxim A. Ziatdinov; Ann Mary Justine Koomthanam; Suparna Bhattacharya; Ayana Ghosh; Kevin Roccapriore; Sreenivas Rangan Sukumar; Paolo Faraboschi (SC Workshops, 2023)

Future of the Workforce. - Martin F. Arlitt; Tom Coughlin 001; Paolo Faraboschi; Eitan Frachtenberg; Phil Laplante; Dejan S. Milojicic; Nita Patel; Roberto Saracco (Computer, 2023)

Megatrends. - Cullen E. Bash; Paolo Faraboschi; Eitan Frachtenberg; Phil Laplante; Dejan S. Milojicic; Roberto Saracco (Computer, 2023)

X-TIME: An in-memory engine for accelerating machine learning on tabular data with CAMs. - Giacomo Pedretti; John Moon; Pedro Bruel; Sergey Serebryakov; Ron M. Roth; Luca Buonanno; Tobias Ziegler 006; Cong Xu; Martin Foltin; Paolo Faraboschi; Jim Ignowski; Catherine E. Graves (CoRR, 2023)

Digital Transformation: Lights and Shadows. - Paolo Faraboschi; Eitan Frachtenberg; Phil Laplante; Dejan S. Milojicic; Roberto Saracco (Computer, 2023)

Artificial General Intelligence: Humanity's Downturn or Unlimited Prosperity. - Paolo Faraboschi; Eitan Frachtenberg; Phil Laplante; Dejan S. Milojicic; Roberto Saracco (Computer, 2023)

CAMSHAP: Accelerating Machine Learning Model Explainability with Analog CAM. - John Moon; Giacomo Pedretti; Pedro Bruel; Sergey Serebryakov; Omar Eldash; Luca Buonanno; Catherine E. Graves; Paolo Faraboschi; Jim Ignowski (ICCAD, 2024)

Active Learning Surrogates for Integrating Electron Microscopy and Computational Insights from Simulations in Autonomous Experiments. - Gayathri Saranathan; Ayana Ghosh; Martin Foltin; Ann Mary Justine Koomthanam; Aalap Tripathy; Maxim A. Ziatdinov; Suparna Bhattacharya; Kevin Roccapriore; Paolo Faraboschi (SC Workshops, 2024)

Reducing the Barriers to Entry for Foundation Model Training. - Paolo Faraboschi; Ellis Giles; Justin Hotard; Konstanty Owczarek; Andrew Wheeler (CoRR, 2024)

Constructing a metadata knowledge graph as an atlas for demystifying AI pipeline optimization. - Revathy Venkataramanan; Aalap Tripathy; Tarun Kumar; Sergey Serebryakov; Annmary Justine; Arpit Shah; Suparna Bhattacharya; Martin Foltin; Paolo Faraboschi; Kaushik Roy 009; Amit P. Sheth (Frontiers Big Data, 2024)

What Gets You Hired Now Will Not Get You Hired Then. - Kirk Bresniker; Paolo Faraboschi; Eitan Frachtenberg; Dejan S. Milojicic; Phil Laplante; Nita Patel; Roberto Saracco (IT Prof., 2024)

Ethics in Sustainability. - Cullen E. Bash; Kirk Bresniker; Paolo Faraboschi; Tiffani Jarnigan; Dejan S. Milojicic; Pam Wood (IEEE Des. Test, 2024)

Analog In-Memory Computing Enhanced FPGA for High-Throughput and Energy-Efficient Acceleration. - Archit Gajjar; Lei Zhao; Omar Eldash; Aishwarya Natarajan; Xia Sheng; Giacomo Pedretti; Aman Arora 001; Paolo Faraboschi; Jim Ignowski; Luca Buonanno (FCCM, 2025)

Enhancing FPGAs with Analog In-Memory Computing Macros. - Archit Gajjar; Lei Zhao; Omar Eldash; Aishwarya Natarajan; Rand Jean; Xia Sheng; Giacomo Pedretti; Paolo Faraboschi; Jim Ignowski; Luca Buonanno (FPGA, 2025)