Jorge Albericio

Publication Activity (10 Years)

Years Active: 2012-2022
Publications (10 Years): 17

Top Topics

General Purpose

Counter Propagation

Top Venues

Publications

Michael Ferdman, Jorge Albericio, Tushar Krishna, Peter A. Milder
Guest Editorial: IEEE TC Special Issue: Hardware Acceleration of Machine Learning. IEEE Trans. Computers 71 (12) (2022)
Mostafa Mahmoud, Isak Edo Vivancos, Ali Hadi Zadeh, Omar Mohamed Awad, Gennady Pekhimenko, Jorge Albericio, Andreas Moshovos
TensorDash: Exploiting Sparsity to Accelerate Deep Neural Network Training and Inference. CoRR (2020)
Mostafa Mahmoud, Isak Edo, Ali Hadi Zadeh, Omar Mohamed Awad, Gennady Pekhimenko, Jorge Albericio, Andreas Moshovos
TensorDash: Exploiting Sparsity to Accelerate Deep Neural Network Training. MICRO (2020)
Mostafa Mahmoud, Dylan Malone Stuart, Zissis Poulos, Alberto Delmas Lascorz, Patrick Judd, Sayeh Sharify, Milos Nikolic, Kevin Siu, Isak Edo Vivancos, Jorge Albericio, Andreas Moshovos
Accelerating Image-Sensor-Based Deep Learning Applications. IEEE Micro 39 (5) (2019)
Andreas Moshovos, Jorge Albericio, Patrick Judd, Alberto Delmas Lascorz, Sayeh Sharify, Tayler H. Hetherington, Tor M. Aamodt, Natalie D. Enright Jerger
Value-Based Deep-Learning Acceleration. IEEE Micro 38 (1) (2018)
Andreas Moshovos, Jorge Albericio, Patrick Judd, Alberto Delmas Lascorz, Sayeh Sharify, Zissis Poulos, Tayler H. Hetherington, Tor M. Aamodt, Natalie D. Enright Jerger
Exploiting Typical Values to Accelerate Deep Learning. Computer 51 (5) (2018)
Patrick Judd, Jorge Albericio, Tayler H. Hetherington, Tor M. Aamodt, Natalie D. Enright Jerger, Raquel Urtasun, Andreas Moshovos
Proteus: Exploiting precision variability in deep neural networks. Parallel Comput. 73 (2018)
Andreas Moshovos, Jorge Albericio, Patrick Judd, Alberto Delmas, Sayeh Sharify, Mostafa Mahmoud, Tayler H. Hetherington, Milos Nikolic, Dylan Malone Stuart, Kevin Siu, Zissis Poulos, Tor M. Aamodt, Natalie D. Enright Jerger
Identifying and Exploiting Ineffectual Computations to Enable Hardware Acceleration of Deep Learning. NEWCAS (2018)
Jorge Albericio, Alberto Delmas, Patrick Judd, Sayeh Sharify, Gerard O'Leary, Roman Genov, Andreas Moshovos
Bit-pragmatic deep neural network computing. MICRO (2017)
Patrick Judd, Jorge Albericio, Andreas Moshovos
Stripes: Bit-Serial Deep Neural Network Computing. IEEE Comput. Archit. Lett. 16 (1) (2017)
Jorge Albericio, Patrick Judd, Alberto Delmas, Sayeh Sharify, Andreas Moshovos
Bit-Pragmatic Deep Neural Network Computing. ICLR (Workshop) (2017)
Jorge Albericio, Patrick Judd, Alberto Delmas Lascorz, Sayeh Sharify, Andreas Moshovos
Bit-pragmatic Deep Neural Network Computing. CoRR (2016)
André Seznec, Joshua San Miguel, Jorge Albericio
Practical Multidimensional Branch Prediction. IEEE Micro 36 (3) (2016)
Joshua San Miguel, Jorge Albericio, Natalie D. Enright Jerger, Aamer Jaleel
The Bunker Cache for spatio-value approximation. MICRO (2016)
Patrick Judd, Jorge Albericio, Tayler H. Hetherington, Tor M. Aamodt, Andreas Moshovos
Stripes: Bit-serial deep neural network computing. MICRO (2016)
Jorge Albericio, Patrick Judd, Tayler H. Hetherington, Tor M. Aamodt, Natalie D. Enright Jerger, Andreas Moshovos
Cnvlutin: Ineffectual-Neuron-Free Deep Neural Network Computing. ISCA (2016)
Patrick Judd, Jorge Albericio, Tayler H. Hetherington, Tor M. Aamodt, Natalie D. Enright Jerger, Andreas Moshovos
Proteus: Exploiting Numerical Precision Variability in Deep Neural Networks. ICS (2016)
Patrick Judd, Jorge Albericio, Tayler H. Hetherington, Tor M. Aamodt, Natalie D. Enright Jerger, Raquel Urtasun, Andreas Moshovos
Reduced-Precision Strategies for Bounded Memory in Deep Neural Nets. CoRR (2015)
Joshua San Miguel, Jorge Albericio, Andreas Moshovos, Natalie D. Enright Jerger
Doppelgänger: a cache for approximate computing. MICRO (2015)
André Seznec, Joshua San Miguel, Jorge Albericio
The inner most loop iteration counter: a new dimension in branch history. MICRO (2015)
Goran Narancic, Patrick Judd, Di Wu, Islam Atta, Michel Elnacouzi, Jason Zebchuk, Jorge Albericio, Natalie D. Enright Jerger, Andreas Moshovos, Kyros Kutulakos, Serag Gadelrab
Evaluating the memory system behavior of smartphone workloads. ICSAMOS (2014)
Jorge Albericio, Joshua San Miguel, Natalie D. Enright Jerger, Andreas Moshovos
Wormhole: Wisely Predicting Multidimensional Branches. MICRO (2014)
Marta Ortín, Alexandra Ferreron, Jorge Albericio, Darío Suárez Gracia, María Villarroya-Gaudó, Cruz Izu, Víctor Viñals
Characterization and cost-efficient selection of NoC topologies for general purpose CMPs. INA-OCMC@HiPEAC (2013)
Jorge Albericio, Pablo Ibáñez, Víctor Viñals, José María Llabería
Exploiting reuse locality on inclusive shared last-level caches. ACM Trans. Archit. Code Optim. 9 (4) (2013)
Jorge Albericio, Pablo Ibáñez, Víctor Viñals, José M. Llabería
The reuse cache: downsizing the shared last-level cache. MICRO (2013)
Jorge Albericio, Ruben Gran Tejero, Pablo Ibáñez, Víctor Viñals, José María Llabería
ABS: A low-cost adaptive controller for prefetching in a banked shared last-level cache. ACM Trans. Archit. Code Optim. 8 (4) (2012)