Marc González Tallada

13 papers A 2B 1C 1Journal 4Unranked 5
YearRankTypeTitle / Venue / Authors
2024 J jnl
Compute units in OpenMP: Extensions for heterogeneous parallel programming.
Concurr. Comput. Pract. Exp.
Marc González Tallada, Enric Morancho
2024 — conf
eCC++ : A Compiler Construction Framework for Embedded Domain-Specific Languages.
IPDPS (Workshops)
Marc González Tallada, Joel E. Denny, Pedro Valero-Lara, Seyong Lee, Keita Teranishi, Jeffrey S. Vetter
2024 C conf
sKokkos: Enabling Kokkos with Transparent Device Selection on Heterogeneous Systems using OpenACC.
HPC Asia
Pedro Valero-Lara, Seyong Lee, Joel E. Denny, Keita Teranishi, Jeffrey S. Vetter, Marc González Tallada
2023 J jnl
Abisko: Deep codesign of an architecture for spiking neural networks using novel neuromorphic materials.
Int. J. High Perform. Comput. Appl.
Jeffrey S. Vetter, Prasanna Date, Farah Fahim, Shruti R. Kulkarni, Petro Maksymovych, A. Alec Talin, Marc González Tallada, Pruek Vanna-Iampikul, Aaron R. Young, David Brooks, Yu Cao, Gu-Yeon Wei, Sung Kyu Lim, Frank Liu, Matthew J. Marinella, Bobby G. Sumpter, Narasinga Rao Miniskar
2023 — conf
Evaluating performance and portability of high-level programming models: Julia, Python/Numba, and Kokkos on exascale nodes.
IPDPS Workshops
William F. Godoy, Pedro Valero-Lara, T. Elise Dettling, Christian Trefftz, Ian Jorquera, Thomas Sheehy, Ross G. Miller, Marc González Tallada, Jeffrey S. Vetter, Valentin Churavy
2023 J jnl
Evaluating performance and portability of high-level programming models: Julia, Python/Numba, and Kokkos on exascale nodes.
CoRR
William F. Godoy, Pedro Valero-Lara, T. Elise Dettling, Christian Trefftz, Ian Jorquera, Thomas Sheehy, Ross G. Miller, Marc González Tallada, Jeffrey S. Vetter, Valentin Churavy
2022 — conf
KokkACC: Enhancing Kokkos with OpenACC.
WACCPD@SC
Pedro Valero-Lara, Seyong Lee, Marc González Tallada, Joel E. Denny, Jeffrey S. Vetter
2016 B conf
Coarse grain parallelization of deep neural networks.
PPoPP
Marc González Tallada
2015 — conf
A Methodology to Build Models and Predict Performance-Power in CMPs.
ICPP Workshops
Rajiv Nishtala, Marc González Tallada, Xavier Martorell
2014 A conf
Real-Time Scalable Cortical Computing at 46 Giga-Synaptic OPS/Watt with ~100× Speedup in Time-to-Solution and ~100, 000× Reduction in Energy-to-Solution.
SC
Andrew S. Cassidy, Rodrigo Alvarez-Icaza, Filipp Akopyan, Jun Sawada, John V. Arthur, Paul Merolla, Pallab Datta, Marc González Tallada, Brian Taba, Alexander Andreopoulos, Arnon Amir, Steven K. Esser, Jeff Kusnitz, Rathinakumar Appuswamy, Chuck Haymes, Bernard Brezzo, Roger Moussalli, Ralph Bellofatto, Christian W. Baks, Michael Mastro, Kai Schleupen, Charles E. Cox, Ken Inoue, Steven E. Millman, Nabil Imam, Emmett McQuinn, Yutaka Y. Nakamura, Ivan Vo, Chen Guok, Don Nguyen, Scott Lekuch, Sameh W. Asaad, Daniel J. Friedman, Bryan L. Jackson, Myron Flickner, William P. Risk, Rajit Manohar, Dharmendra S. Modha
2012 J jnl
DMA++: On the Fly Data Realignment for On-Chip Memories.
IEEE Trans. Computers
Nikola Vujic, Felipe Cabarcas, Marc González Tallada, Alex Ramírez, Xavier Martorell, Eduard Ayguadé
2009 — conf
Adaptive and Speculative Memory Consistency Support for Multi-core Architectures with On-Chip Local Memories.
LCPC
Nikola Vujic, Lluc Alvarez, Marc González Tallada, Xavier Martorell, Eduard Ayguadé
2008 A conf
Prefetching irregular references for software cache on cell.
CGO
Tong Chen, Tao Zhang, Zehra Sura, Marc González Tallada