Kaan Kara

According to our database, Kaan Kara authored at least 25 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Stochastic gradient descent without full data shuffle: with applications to in-database machine learning and deep learning systems.

Lijie Xu, Shuang Qiu, Binhang Yuan, Jiawei Jiang, Cédric Renggli, Shaoduo Gan, Kaan Kara, Guoliang Li, Ji Liu, Wentao Wu, Jieping Ye, Ce Zhang

VLDB J., September, 2024

2022

Exploiting HBM on FPGAs for Data Processing.

Runbin Shi, Kaan Kara, Christoph Hagleitner, Dionysios Diamantopoulos, Dimitris Syrivelis, Gustavo Alonso

ACM Trans. Reconfigurable Technol. Syst., 2022

Stochastic Gradient Descent without Full Data Shuffle.

Lijie Xu, Shuang Qiu, Binhang Yuan, Jiawei Jiang, Cédric Renggli, Shaoduo Gan, Kaan Kara, Guoliang Li, Ji Liu, Wentao Wu, Jieping Ye, Ce Zhang

CoRR, 2022

In-Database Machine Learning with CorgiPile: Stochastic Gradient Descent without Full Data Shuffle.

Lijie Xu, Shuang Qiu, Binhang Yuan, Jiawei Jiang, Cédric Renggli, Shaoduo Gan, Kaan Kara, Guoliang Li, Ji Liu, Wentao Wu, Jieping Ye, Ce Zhang

Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

2020

Specialized Hardware Solutions for In-Database Analytics and Machine Learning.

Kaan Kara

PhD thesis, 2020

Compressive Sensing Using Iterative Hard Thresholding With Low Precision Data Representation: Theory and Applications.

Nezihe Merve Gürel, Kaan Kara, Alen Stojanov, Tyler M. Smith, Thomas Lemmin, Dan Alistarh, Markus Püschel, Ce Zhang

IEEE Trans. Signal Process., 2020

PipeArch: Generic and Context-Switch Capable Data Processing on FPGAs.

Kaan Kara, Gustavo Alonso

ACM Trans. Reconfigurable Technol. Syst., 2020

FPGA-Accelerated Analytics: From Single Nodes to Clusters.

Zsolt István, Kaan Kara, David Sidler

Found. Trends Databases, 2020

HyperLogLog Sketch Acceleration on FPGA.

Amit Kulkarni, Monica Chiosa, Thomas B. Preußer, Kaan Kara, David Sidler, Gustavo Alonso

Proceedings of the 30th International Conference on Field-Programmable Logic and Applications, 2020

High Bandwidth Memory on FPGAs: A Data Analytics Perspective.

Kaan Kara, Christoph Hagleitner, Dionysios Diamantopoulos, Dimitris Syrivelis, Gustavo Alonso

Proceedings of the 30th International Conference on Field-Programmable Logic and Applications, 2020

Tackling Hardware/Software co-design from a database perspective.

Gustavo Alonso, Timothy Roscoe, David A. Cock, Mohsen Ewaida, Kaan Kara, Dario Korolija, David Sidler, Zeke Wang

Proceedings of the 10th Conference on Innovative Data Systems Research, 2020

2019

Accelerating Generalized Linear Models with MLWeaving: A One-Size-Fits-All System for Any-precision Learning.

Zeke Wang, Kaan Kara, Hantian Zhang, Gustavo Alonso, Ce Zhang, Onur Mutlu

Proc. VLDB Endow., 2019

doppioDB 2.0: Hardware Techniques for Improved Integration of Machine Learning into Databases.

Kaan Kara, Zeke Wang, Ce Zhang, Gustavo Alonso

Proc. VLDB Endow., 2019

doppioDB 1.0: Machine Learning inside a Relational Engine.

Gustavo Alonso, Zsolt István, Kaan Kara, Muhsen Owaida, David Sidler

IEEE Data Eng. Bull., 2019

Accelerating Generalized Linear Models with MLWeaving: A One-Size-Fits-All System for Any-precision Learning (Technical Report).

Zeke Wang, Kaan Kara, Hantian Zhang, Gustavo Alonso, Onur Mutlu, Ce Zhang

CoRR, 2019

2018

ColumnML: Column-Store Machine Learning with On-The-Fly Data Transformation.

Kaan Kara, Ken Eguro, Ce Zhang, Gustavo Alonso

Proc. VLDB Endow., 2018

Compressive Sensing with Low Precision Data Representation: Radio Astronomy and Beyond.

Nezihe Merve Gürel, Kaan Kara, Dan Alistarh, Ce Zhang

CoRR, 2018

Layerwise Systematic Scan: Deep Boltzmann Machines and Beyond.

Heng Guo, Kaan Kara, Ce Zhang

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017

doppioDB: A Hardware Accelerated Database.

David Sidler, Zsolt István, Muhsen Owaida, Kaan Kara, Gustavo Alonso

Proceedings of the 2017 ACM International Conference on Management of Data, 2017

FPGA-based Data Partitioning.

Kaan Kara, Jana Giceva, Gustavo Alonso

Proceedings of the 2017 ACM International Conference on Management of Data, 2017

ZipML: Training Linear Models with End-to-End Low Precision, and a Little Bit of Deep Learning.

Hantian Zhang, Jerry Li, Kaan Kara, Dan Alistarh, Ji Liu, Ce Zhang

Proceedings of the 34th International Conference on Machine Learning, 2017

Centaur: A Framework for Hybrid CPU-FPGA Databases.

Muhsen Owaida, David Sidler, Kaan Kara, Gustavo Alonso

Proceedings of the 25th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2017

FPGA-Accelerated Dense Linear Machine Learning: A Precision-Convergence Trade-Off.

Kaan Kara, Dan Alistarh, Gustavo Alonso, Onur Mutlu, Ce Zhang

Proceedings of the 25th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2017

2016

ZipML: An End-to-end Bitwise Framework for Dense Generalized Linear Models.

Hantian Zhang, Kaan Kara, Jerry Li, Dan Alistarh, Ji Liu, Ce Zhang

CoRR, 2016

Fast and robust hashing for database operators.

Kaan Kara, Gustavo Alonso

Proceedings of the 26th International Conference on Field Programmable Logic and Applications, 2016