ABS: A low-cost adaptive controller for prefetching in a banked shared last-level cache. - Jorge Albericio; Ruben Gran Tejero; Pablo Ibáñez 001; Víctor Viñals; José María Llabería (ACM Trans. Archit. Code Optim., 2012)

Characterization and cost-efficient selection of NoC topologies for general purpose CMPs. - Marta Ortín; Alexandra Ferreron; Jorge Albericio; Darío Suárez Gracia; María Villarroya-Gaudó; Cruz Izu; Víctor Viñals (INA-OCMC@HiPEAC, 2013)

The reuse cache: downsizing the shared last-level cache. - Jorge Albericio; Pablo Ibáñez 001; Víctor Viñals; José M. Llabería (MICRO, 2013)

Exploiting reuse locality on inclusive shared last-level caches. - Jorge Albericio; Pablo Ibáñez 001; Víctor Viñals; José María Llabería (ACM Trans. Archit. Code Optim., 2013)

Wormhole: Wisely Predicting Multidimensional Branches. - Jorge Albericio; Joshua San Miguel; Natalie D. Enright Jerger; Andreas Moshovos (MICRO, 2014)

Evaluating the memory system behavior of smartphone workloads. - Goran Narancic; Patrick Judd; Di Wu 006; Islam Atta; Michel Elnacouzi; Jason Zebchuk; Jorge Albericio; Natalie D. Enright Jerger; Andreas Moshovos; Kyros Kutulakos; Serag Gadelrab (ICSAMOS, 2014)

Doppelgänger: a cache for approximate computing. - Joshua San Miguel; Jorge Albericio; Andreas Moshovos; Natalie D. Enright Jerger (MICRO, 2015)

The inner most loop iteration counter: a new dimension in branch history. - André Seznec; Joshua San Miguel; Jorge Albericio (MICRO, 2015)

Reduced-Precision Strategies for Bounded Memory in Deep Neural Nets. - Patrick Judd; Jorge Albericio; Tayler H. Hetherington; Tor M. Aamodt; Natalie D. Enright Jerger; Raquel Urtasun; Andreas Moshovos (CoRR, 2015)

Proteus: Exploiting Numerical Precision Variability in Deep Neural Networks. - Patrick Judd; Jorge Albericio; Tayler H. Hetherington; Tor M. Aamodt; Natalie D. Enright Jerger; Andreas Moshovos (ICS, 2016)

Cnvlutin: Ineffectual-Neuron-Free Deep Neural Network Computing. - Jorge Albericio; Patrick Judd; Tayler H. Hetherington; Tor M. Aamodt; Natalie D. Enright Jerger; Andreas Moshovos (ISCA, 2016)

Stripes: Bit-serial deep neural network computing. - Patrick Judd; Jorge Albericio; Tayler H. Hetherington; Tor M. Aamodt; Andreas Moshovos (MICRO, 2016)

The Bunker Cache for spatio-value approximation. - Joshua San Miguel; Jorge Albericio; Natalie D. Enright Jerger; Aamer Jaleel (MICRO, 2016)

Practical Multidimensional Branch Prediction. - André Seznec; Joshua San Miguel; Jorge Albericio (IEEE Micro, 2016)

Bit-Pragmatic Deep Neural Network Computing. - Jorge Albericio; Patrick Judd; Alberto Delmas; Sayeh Sharify; Andreas Moshovos (ICLR (Workshop), 2017)

Bit-pragmatic deep neural network computing. - Jorge Albericio; Alberto Delmas; Patrick Judd; Sayeh Sharify; Gerard O'Leary; Roman Genov; Andreas Moshovos (MICRO, 2017)

Stripes: Bit-Serial Deep Neural Network Computing. - Patrick Judd; Jorge Albericio; Andreas Moshovos (IEEE Comput. Archit. Lett., 2017)

Identifying and Exploiting Ineffectual Computations to Enable Hardware Acceleration of Deep Learning. - Andreas Moshovos; Jorge Albericio; Patrick Judd; Alberto Delmas; Sayeh Sharify; Mostafa Mahmoud; Tayler H. Hetherington; Milos Nikolic 002; Dylan Malone Stuart; Kevin Siu; Zissis Poulos; Tor M. Aamodt; et al. (NEWCAS, 2018)

Exploiting Typical Values to Accelerate Deep Learning. - Andreas Moshovos; Jorge Albericio; Patrick Judd; Alberto Delmas Lascorz; Sayeh Sharify; Zissis Poulos; Tayler H. Hetherington; Tor M. Aamodt; Natalie D. Enright Jerger (Computer, 2018)

Value-Based Deep-Learning Acceleration. - Andreas Moshovos; Jorge Albericio; Patrick Judd; Alberto Delmas Lascorz; Sayeh Sharify; Tayler H. Hetherington; Tor M. Aamodt; Natalie D. Enright Jerger (IEEE Micro, 2018)

Proteus: Exploiting precision variability in deep neural networks. - Patrick Judd; Jorge Albericio; Tayler H. Hetherington; Tor M. Aamodt; Natalie D. Enright Jerger; Raquel Urtasun; Andreas Moshovos (Parallel Comput., 2018)

Accelerating Image-Sensor-Based Deep Learning Applications. - Mostafa Mahmoud; Dylan Malone Stuart; Zissis Poulos; Alberto Delmas Lascorz; Patrick Judd; Sayeh Sharify; Milos Nikolic 002; Kevin Siu; Isak Edo Vivancos; Jorge Albericio; Andreas Moshovos (IEEE Micro, 2019)

TensorDash: Exploiting Sparsity to Accelerate Deep Neural Network Training. - Mostafa Mahmoud; Isak Edo; Ali Hadi Zadeh; Omar Mohamed Awad; Gennady Pekhimenko; Jorge Albericio; Andreas Moshovos (MICRO, 2020)

TensorDash: Exploiting Sparsity to Accelerate Deep Neural Network Training and Inference. - Mostafa Mahmoud; Isak Edo Vivancos; Ali Hadi Zadeh; Omar Mohamed Awad; Gennady Pekhimenko; Jorge Albericio; Andreas Moshovos (CoRR, 2020)

Guest Editorial: IEEE TC Special Issue: Hardware Acceleration of Machine Learning. - Michael Ferdman; Jorge Albericio; Tushar Krishna; Peter A. Milder (IEEE Trans. Computers, 2022)