Author of the publication

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

Accelerating Large Scale Deep Learning Inference through DeepCPU at Microsoft.

M. Zhang, S. Rajbhandari, W. Wang, E. Zheng, O. Ruwase, J. Rasley, J. Li, J. Wang, and Y. He. OpML, page 5-7. USENIX Association, (2019)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Shuai Zhang University of Stuttgart

Guanhua Zhang University of Stuttgart

Dr. -Ing. Jing Zhang University of Stuttgart

Jixing Zhang University of Stuttgart

Dr. Xi Zhang University of Stuttgart

Other publications of authors with the same name

Hybridizing and Relaxing Dependence Tracking for Efficient Parallel Runtime Support.M. Cao, M. Zhang, A. Sengupta, S. Biswas, and M. Bond. TOPC, 4 (2): 9:1-9:42 (2017)DeepSpeed-MoE: Advancing Mixture-of-Experts Inference and Training to Power Next-Generation AI Scale.S. Rajbhandari, C. Li, Z. Yao, M. Zhang, R. Aminabadi, A. Awan, J. Rasley, and Y. He. CoRR, (2022)Zoom: SSD-based Vector Search for Optimizing Accuracy, Latency and Memory.M. Zhang, and Y. He. CoRR, (2018)OCTET: capturing and controlling cross-thread dependences efficiently.M. Bond, M. Kulkarni, M. Cao, M. Zhang, M. Salmi, S. Biswas, A. Sengupta, and J. Huang. OOPSLA, page 693-712. ACM, (2013)Drinking from both glasses: combining pessimistic and optimistic tracking of cross-thread dependences.M. Cao, M. Zhang, A. Sengupta, and M. Bond. PPOPP, page 20:1-20:13. ACM, (2016)LSTM-Sharp: An Adaptable, Energy-Efficient Hardware Accelerator for Long Short-Term Memory.R. Yazdani, O. Ruwase, M. Zhang, Y. He, J. Arnau, and A. González. CoRR, (2019)VirtCFT: A Transparent VM-Level Fault-Tolerant System for Virtual Clusters.M. Zhang, H. Jin, X. Shi, and S. Wu. ICPADS, page 147-154. IEEE Computer Society, (2010)Sentinel: Runtime Data Management on Heterogeneous Main MemorySystems for Deep Learning.J. Ren, J. Luo, K. Wu, M. Zhang, and D. Li. CoRR, (2019)Speed-ANN: Low-Latency and High-Accuracy Nearest Neighbor Search via Intra-Query Parallelism.Z. Peng, M. Zhang, K. Li, R. Jin, and B. Ren. CoRR, (2022)Accelerating Large Scale Deep Learning Inference through DeepCPU at Microsoft.M. Zhang, S. Rajbhandari, W. Wang, E. Zheng, O. Ruwase, J. Rasley, J. Li, J. Wang, and Y. He. OpML, page 5-7. USENIX Association, (2019)

PUMA

Disambiguation of "Zhang, Minjia"

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

Accelerating Large Scale Deep Learning Inference through DeepCPU at Microsoft.

Please choose a person to relate this publication to

Shuai Zhang University of Stuttgart

Guanhua Zhang University of Stuttgart

Dr. -Ing. Jing Zhang University of Stuttgart

Jixing Zhang University of Stuttgart

Dr. Xi Zhang University of Stuttgart

Other publications of authors with the same name

Disambiguation

PUMA

Disambiguation of "Zhang, Minjia"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Accelerating Large Scale Deep Learning Inference through DeepCPU at Microsoft.

Please choose a person to relate this publication to

Shuai Zhang University of Stuttgart

Guanhua Zhang University of Stuttgart

Dr. -Ing. Jing Zhang University of Stuttgart

Jixing Zhang University of Stuttgart

Dr. Xi Zhang University of Stuttgart

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

Accelerating Large Scale Deep Learning Inference through DeepCPU at Microsoft.