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Rambda: RDMA-driven Acceleration Framework for Memory-intensive µs-scale Datacenter Applications.

Y. Yuan, J. Huang, Y. Sun, T. Wang, J. Nelson, D. Ports, Y. Wang, R. Wang, C. Tai, and N. Kim. HPCA, page 499-515. IEEE, (2023)

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Charlie Przetak

Charlie Hargood

Charlie Mahn

Charlie Mansfield

Xavier Taixés i Ventosa

Theoretical and algorithmic aspects of congruences between modular Galois representationsX. Taixés i Ventosa. Uni Duisburg-Essen, (2009)

Other publications of authors with the same name

QEI: Query Acceleration Can be Generic and Efficient in the Cloud.Y. Yuan, Y. Wang, R. Wang, R. Chowdhury, C. Tai, and N. Kim. HPCA, page 385-398. IEEE, (2021)RLDRM: Closed Loop Dynamic Cache Allocation with Deep Reinforcement Learning for Network Function Virtualization.B. Li, Y. Wang, R. Wang, C. Tai, R. Iyer, Z. Zhou, A. Herdrich, T. Zhang, A. Haj-Ali, I. Stoica and 1 other author(s). NetSoft, page 335-343. IEEE, (2020)ORCA: A Network and Architecture Co-design for Offloading us-scale Datacenter Applications.Y. Yuan, J. Huang, Y. Sun, T. Wang, J. Nelson, D. Ports, Y. Wang, R. Wang, C. Tai, and N. Kim. CoRR, (2022)Rambda: RDMA-driven Acceleration Framework for Memory-intensive µs-scale Datacenter Applications.Y. Yuan, J. Huang, Y. Sun, T. Wang, J. Nelson, D. Ports, Y. Wang, R. Wang, C. Tai, and N. Kim. HPCA, page 499-515. IEEE, (2023)SLIDE : In Defense of Smart Algorithms over Hardware Acceleration for Large-Scale Deep Learning SystemsB. Chen, T. Medini, J. Farwell, S. Gobriel, C. Tai, and A. Shrivastava. (2019)cite arxiv:1903.03129Comment: Published at MLSys 2020.DPM-NFV: Dynamic Power Management Framework for 5G User Plane Function using Bayesian Optimization.J. Sydir, B. Li, P. Mercati, C. Tai, R. Iyer, M. Kishinevsky, and B. Serafimov. GLOBECOM, page 4099-4105. IEEE, (2022)Don't Forget the I/O When Allocating Your LLC.Y. Yuan, M. Alian, Y. Wang, R. Wang, I. Kurakin, C. Tai, and N. Kim. ISCA, page 112-125. IEEE, (2021)MOBO-NFV: Automated Tuning of a Network Function Virtualization System using Multi-Objective Bayesian Optimization.P. Mercati, B. Li, M. Ergin, C. Tai, M. Kishinevsky, B. Serafimov, S. Ravisundar, E. Walsh, and T. Long. IM, page 90-98. IEEE, (2021)Exploiting integrated GPUs for network packet processing workloads.J. Tseng, R. Wang, J. Tsai, S. Edupuganti, A. Min, S. Woo, S. Junkins, and T. Tai. NetSoft, page 161-165. IEEE, (2016)Dynamic Sketch: Efficient and Adjustable Heavy Hitter Detection for Software Packet Processing.Y. Wang, T. Yang, R. Wang, and T. Tai. CloudNet, page 1-7. IEEE, (2019)

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Disambiguation of "Tai, Charlie"

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Rambda: RDMA-driven Acceleration Framework for Memory-intensive µs-scale Datacenter Applications.

Please choose a person to relate this publication to

Charlie Przetak

Charlie Hargood

Charlie Mahn

Charlie Mansfield

Xavier Taixés i Ventosa

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Tai, Charlie"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Rambda: RDMA-driven Acceleration Framework for Memory-intensive µs-scale Datacenter Applications.

Please choose a person to relate this publication to

Charlie Przetak

Charlie Hargood

Charlie Mahn

Charlie Mansfield

Xavier Taixés i Ventosa

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Rambda: RDMA-driven Acceleration Framework for Memory-intensive µs-scale Datacenter Applications.