Kaan Kara

According to our database1, Kaan Kara authored at least 22 papers between 2016 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2022
Stochastic Gradient Descent without Full Data Shuffle.
CoRR, 2022

In-Database Machine Learning with CorgiPile: Stochastic Gradient Descent without Full Data Shuffle.
Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

2020
Compressive Sensing Using Iterative Hard Thresholding With Low Precision Data Representation: Theory and Applications.
IEEE Trans. Signal Process., 2020

PipeArch: Generic and Context-Switch Capable Data Processing on FPGAs.
ACM Trans. Reconfigurable Technol. Syst., 2020

FPGA-Accelerated Analytics: From Single Nodes to Clusters.
Found. Trends Databases, 2020

HyperLogLog Sketch Acceleration on FPGA.
Proceedings of the 30th International Conference on Field-Programmable Logic and Applications, 2020

High Bandwidth Memory on FPGAs: A Data Analytics Perspective.
Proceedings of the 30th International Conference on Field-Programmable Logic and Applications, 2020

Tackling Hardware/Software co-design from a database perspective.
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.
Proc. VLDB Endow., 2019

doppioDB 2.0: Hardware Techniques for Improved Integration of Machine Learning into Databases.
Proc. VLDB Endow., 2019

doppioDB 1.0: Machine Learning inside a Relational Engine.
IEEE Data Eng. Bull., 2019

Accelerating Generalized Linear Models with MLWeaving: A One-Size-Fits-All System for Any-precision Learning (Technical Report).
CoRR, 2019

2018
ColumnML: Column-Store Machine Learning with On-The-Fly Data Transformation.
Proc. VLDB Endow., 2018

Compressive Sensing with Low Precision Data Representation: Radio Astronomy and Beyond.
CoRR, 2018

Layerwise Systematic Scan: Deep Boltzmann Machines and Beyond.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017
FPGA-based Data Partitioning.
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.
Proceedings of the 34th International Conference on Machine Learning, 2017

doppioDB: A hardware accelerated database.
Proceedings of the 27th International Conference on Field Programmable Logic and Applications, 2017

Centaur: A Framework for Hybrid CPU-FPGA Databases.
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.
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.
CoRR, 2016

Fast and robust hashing for database operators.
Proceedings of the 26th International Conference on Field Programmable Logic and Applications, 2016


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