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Jorge Albericio
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2020 – today
- 2022
- [j9]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): 3072-3073 (2022) - 2020
- [c14]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: 781-795 - [i3]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 abs/2009.00748 (2020)
2010 – 2019
- 2019
- [j8]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): 26-35 (2019) - 2018
- [j7]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): 18-30 (2018) - [j6]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): 41-55 (2018) - [j5]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: 40-51 (2018) - [c13]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: 356-360 - 2017
- [j4]Patrick Judd, Jorge Albericio, Andreas Moshovos:
Stripes: Bit-Serial Deep Neural Network Computing. IEEE Comput. Archit. Lett. 16(1): 80-83 (2017) - [c12]Jorge Albericio, Patrick Judd, Alberto Delmas, Sayeh Sharify, Andreas Moshovos:
Bit-Pragmatic Deep Neural Network Computing. ICLR (Workshop) 2017 - [c11]Jorge Albericio, Alberto Delmas, Patrick Judd, Sayeh Sharify, Gerard O'Leary, Roman Genov, Andreas Moshovos:
Bit-pragmatic deep neural network computing. MICRO 2017: 382-394 - 2016
- [j3]André Seznec, Joshua San Miguel, Jorge Albericio:
Practical Multidimensional Branch Prediction. IEEE Micro 36(3): 10-19 (2016) - [c10]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: 23:1-23:12 - [c9]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: 1-13 - [c8]Patrick Judd, Jorge Albericio, Tayler H. Hetherington, Tor M. Aamodt, Andreas Moshovos:
Stripes: Bit-serial deep neural network computing. MICRO 2016: 19:1-19:12 - [c7]Joshua San Miguel, Jorge Albericio, Natalie D. Enright Jerger
, Aamer Jaleel:
The Bunker Cache for spatio-value approximation. MICRO 2016: 43:1-43:12 - [i2]Jorge Albericio, Patrick Judd, Alberto Delmas Lascorz, Sayeh Sharify, Andreas Moshovos:
Bit-pragmatic Deep Neural Network Computing. CoRR abs/1610.06920 (2016) - 2015
- [c6]Joshua San Miguel, Jorge Albericio, Andreas Moshovos, Natalie D. Enright Jerger
:
Doppelgänger: a cache for approximate computing. MICRO 2015: 50-61 - [c5]André Seznec, Joshua San Miguel, Jorge Albericio:
The inner most loop iteration counter: a new dimension in branch history. MICRO 2015: 347-357 - [i1]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 abs/1511.05236 (2015) - 2014
- [c4]Jorge Albericio, Joshua San Miguel, Natalie D. Enright Jerger
, Andreas Moshovos:
Wormhole: Wisely Predicting Multidimensional Branches. MICRO 2014: 509-520 - [c3]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: 83-92 - 2013
- [j2]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): 38:1-38:19 (2013) - [c2]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: 21-24 - [c1]Jorge Albericio, Pablo Ibáñez
, Víctor Viñals
, José M. Llabería
:
The reuse cache: downsizing the shared last-level cache. MICRO 2013: 310-321 - 2012
- [j1]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): 19:1-19:20 (2012)
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