Amir Shaikhha

According to our database, Amir Shaikhha authored at least 43 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

A Tensor Algebra Compiler for Sparse Differentiation.

Amir Shaikhha, Mathieu Huot, Shideh Hashemian

Proceedings of the IEEE/ACM International Symposium on Code Generation and Optimization, 2024

2023

Compiling Structured Tensor Algebra.

Mahdi Ghorbani, Mathieu Huot, Shideh Hashemian, Amir Shaikhha

Proc. ACM Program. Lang., October, 2023

Demonstration of OpenDBML, a Framework for Democratizing In-Database Machine Learning.

Mahdi Ghorbani, Amir Shaikhha

Proc. VLDB Endow., 2023

Optimizing Tensor Programs on Flexible Storage.

Maximilian Schleich, Amir Shaikhha, Dan Suciu

Proc. ACM Manag. Data, 2023

∇SD: Differentiable Programming for Sparse Tensors.

Amir Shaikhha, Mathieu Huot, Shideh Hashemian

CoRR, 2023

Efficient Query Processing in Python Using Compilation.

Hesam Shahrokhi, Callum Groeger, Yizhuo Yang, Amir Shaikhha

Proceedings of the Companion of the 2023 International Conference on Management of Data, 2023

Hinted Dictionaries: Efficient Functional Ordered Sets and Maps.

Amir Shaikhha, Mahdi Ghorbani, Hesam Shahrokhi

Proceedings of the 37th European Conference on Object-Oriented Programming, 2023

An Efficient Vectorized Hash Table for Batch Computations.

Hesam Shahrokhi, Amir Shaikhha

Proceedings of the 37th European Conference on Object-Oriented Programming, 2023

Fine-Tuning Data Structures for Query Processing.

Amir Shaikhha, Marios Kelepeshis, Mahdi Ghorbani

Proceedings of the 21st ACM/IEEE International Symposium on Code Generation and Optimization, 2023

Building a Compiled Query Engine in Python.

Hesam Shahrokhi, Amir Shaikhha

Proceedings of the 32nd ACM SIGPLAN International Conference on Compiler Construction, 2023

Compiling Discrete Probabilistic Programs for Vectorized Exact Inference.

Jingwen Pan, Amir Shaikhha

Proceedings of the 32nd ACM SIGPLAN International Conference on Compiler Construction, 2023

2022

Functional collection programming with semi-ring dictionaries.

Amir Shaikhha, Mathieu Huot, Jaclyn Smith, Dan Olteanu

Proc. ACM Program. Lang., 2022

Efficient and Sound Differentiable Programming in a Functional Array-Processing Language.

Amir Shaikhha, Mathieu Huot, Shabnam Ghasemirad, Andrew W. Fitzgibbon, Simon Peyton Jones, Dimitrios Vytiniotis

CoRR, 2022

Denotationally Correct, Purely Functional, Efficient Reverse-mode Automatic Differentiation.

Mathieu Huot, Amir Shaikhha

CoRR, 2022

Deep Fusion for Efficient Nested Recursive Computations.

Amir Shaikhha

Proceedings of the 21st ACM SIGPLAN International Conference on Generative Programming: Concepts and Experiences, 2022

Hinted Dictionaries: Efficient Functional Ordered Sets and Maps (Extended Abstract).

Amir Shaikhha, Mahdi Ghorbani, Hesam Shahrokhi

Proceedings of the 36th European Conference on Object-Oriented Programming, 2022

2021

An Intermediate Representation for Hybrid Database and Machine Learning Workloads.

Amir Shaikhha, Maximilian Schleich, Dan Olteanu

Proc. VLDB Endow., 2021

Fine-Tuning Data Structures for Analytical Query Processing.

Amir Shaikhha, Marios Kelepeshis, Mahdi Ghorbani

CoRR, 2021

2020

Synthesis of Incremental Linear Algebra Programs.

Amir Shaikhha, Mohammed Elseidy, Stephan Mihaila, Daniel Espino, Christoph Koch

ACM Trans. Database Syst., 2020

Scalable Querying of Nested Data.

Jaclyn Smith, Michael Benedikt, Milos Nikolic, Amir Shaikhha

Proc. VLDB Endow., 2020

BayesCard: A Unified Bayesian Framework for Cardinality Estimation.

Ziniu Wu, Amir Shaikhha

CoRR, 2020

Multi-stage programming in the large with staged classes.

Lionel Parreaux, Amir Shaikhha

Proceedings of the GPCE '20: Proceedings of the 19th ACM SIGPLAN International Conference on Generative Programming: Concepts and Experiences, 2020

Multi-layer optimizations for end-to-end data analytics.

Amir Shaikhha, Maximilian Schleich, Alexandru Ghita, Dan Olteanu

Proceedings of the CGO '20: 18th ACM/IEEE International Symposium on Code Generation and Optimization, 2020

2019

Efficient differentiable programming in a functional array-processing language.

Amir Shaikhha, Andrew W. Fitzgibbon, Dimitrios Vytiniotis, Simon Peyton Jones

Proc. ACM Program. Lang., 2019

Compiler generation for performance-oriented embedded DSLs (short paper).

Amir Shaikhha, Vojin Jovanovic, Christoph E. Koch

Proceedings of the 18th ACM SIGPLAN International Conference on Generative Programming: Concepts and Experiences, 2019

Polymorphic extractors for semantic and portable pattern matching (short paper).

Amir Shaikhha

Proceedings of the 18th ACM SIGPLAN International Conference on Generative Programming: Concepts and Experiences, 2019

Finally, a Polymorphic Linear Algebra Language (Pearl).

Amir Shaikhha, Lionel Parreaux

Proceedings of the 33rd European Conference on Object-Oriented Programming, 2019

2018

Compilation and Code Optimization for Data Analytics.

Amir Shaikhha

PhD thesis, 2018

Building Efficient Query Engines in a High-Level Language.

Amir Shaikhha, Yannis Klonatos, Christoph Koch

ACM Trans. Database Syst., 2018

Unifying analytic and statically-typed quasiquotes.

Lionel Parreaux, Antoine Voizard, Amir Shaikhha, Christoph E. Koch

Proc. ACM Program. Lang., 2018

Push versus pull-based loop fusion in query engines.

Amir Shaikhha, Mohammad Dashti, Christoph Koch

J. Funct. Program., 2018

A Compiler-Compiler for DSL Embedding.

Amir Shaikhha, Vojin Jovanovic, Christoph Koch

CoRR, 2018

Compiling Database Application Programs.

Mohammad Dashti, Sachin Basil John, Thierry Coppey, Amir Shaikhha, Vojin Jovanovic, Christoph Koch

CoRR, 2018

Efficient Differentiable Programming in a Functional Array-Processing Language.

Amir Shaikhha, Andrew W. Fitzgibbon, Dimitrios Vytiniotis, Simon Peyton Jones, Christoph Koch

CoRR, 2018

2017

Transaction Repair for Multi-Version Concurrency Control.

Mohammad Dashti, Sachin Basil John, Amir Shaikhha, Christoph Koch

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

Squid: type-safe, hygienic, and reusable quasiquotes.

Lionel Parreaux, Amir Shaikhha, Christoph E. Koch

Proceedings of the 8th ACM SIGPLAN International Symposium on Scala, 2017

Destination-passing style for efficient memory management.

Amir Shaikhha, Andrew W. Fitzgibbon, Simon Peyton Jones, Dimitrios Vytiniotis

Proceedings of the 6th ACM SIGPLAN International Workshop on Functional High-Performance Computing, 2017

Quoted staged rewriting: a practical approach to library-defined optimizations.

Lionel Parreaux, Amir Shaikhha, Christoph E. Koch

Proceedings of the 16th ACM SIGPLAN International Conference on Generative Programming: Concepts and Experiences, 2017

2016

Push vs. Pull-Based Loop Fusion in Query Engines.

Amir Shaikhha, Mohammad Dashti, Christoph Koch

CoRR, 2016

Repairing Conflicts among MVCC Transactions.

Mohammad Dashti, Sachin Basil John, Amir Shaikhha, Christoph Koch

CoRR, 2016

How to Architect a Query Compiler.

Amir Shaikhha, Yannis Klonatos, Lionel Parreaux, Lewis Brown, Mohammad Dashti, Christoph Koch

Proceedings of the 2016 International Conference on Management of Data, 2016

2014

DBToaster: higher-order delta processing for dynamic, frequently fresh views.

Christoph Koch, Yanif Ahmad, Oliver Kennedy, Milos Nikolic, Andres Nötzli, Daniel Lupei, Amir Shaikhha

VLDB J., 2014

Yin-yang: concealing the deep embedding of DSLs.

Vojin Jovanovic, Amir Shaikhha, Sandro Stucki, Vladimir Nikolaev, Christoph Koch, Martin Odersky

Proceedings of the Generative Programming: Concepts and Experiences, 2014