Amir Shaikhha

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 51

Top Topics

Machine Learning

Top Venues

Proc. ACM Program. Lang.

Publications

Hesam Shahrokhi, Amirali Kaboli, Mahdi Ghorbani, Amir Shaikhha
PyTond: Efficient Python Data Science on the Shoulders of Databases. ICDE (2024)
Amir Shaikhha, Mathieu Huot, Shideh Hashemian
A Tensor Algebra Compiler for Sparse Differentiation. CGO (2024)
Hesam Shahrokhi, Amirali Kaboli, Mahdi Ghorbani, Amir Shaikhha
PyTond: Efficient Python Data Science on the Shoulders of Databases. CoRR (2024)
Amir Shaikhha, Dan Suciu, Maximilian Schleich, Hung Q. Ngo
Optimizing Nested Recursive Queries. Proc. ACM Manag. Data 2 (1) (2024)
Mahdi Ghorbani, Emilien Bauer, Tobias Grosser, Amir Shaikhha
Compressing Structured Tensor Algebra. CoRR (2024)
Hesam Shahrokhi, Amir Shaikhha
Building a Compiled Query Engine in Python. CC (2023)
Amir Shaikhha, Mahdi Ghorbani, Hesam Shahrokhi
Hinted Dictionaries: Efficient Functional Ordered Sets and Maps. ECOOP (2023)
Mahdi Ghorbani, Mathieu Huot, Shideh Hashemian, Amir Shaikhha
Compiling Structured Tensor Algebra. Proc. ACM Program. Lang. 7 (OOPSLA2) (2023)
Maximilian Schleich, Amir Shaikhha, Dan Suciu
Optimizing Tensor Programs on Flexible Storage. Proc. ACM Manag. Data 1 (1) (2023)
Hesam Shahrokhi, Callum Groeger, Yizhuo Yang, Amir Shaikhha
Efficient Query Processing in Python Using Compilation. SIGMOD Conference Companion (2023)
Hesam Shahrokhi, Amir Shaikhha
An Efficient Vectorized Hash Table for Batch Computations. ECOOP (2023)
Mahdi Ghorbani, Amir Shaikhha
Demonstration of OpenDBML, a Framework for Democratizing In-Database Machine Learning. Proc. VLDB Endow. 16 (12) (2023)
Jingwen Pan, Amir Shaikhha
Compiling Discrete Probabilistic Programs for Vectorized Exact Inference. CC (2023)
Amir Shaikhha, Marios Kelepeshis, Mahdi Ghorbani
Fine-Tuning Data Structures for Query Processing. CGO (2023)
Amir Shaikhha, Mathieu Huot, Shideh Hashemian
∇SD: Differentiable Programming for Sparse Tensors. CoRR (2023)
Amir Shaikhha, Mathieu Huot, Shabnam Ghasemirad, Andrew W. Fitzgibbon, Simon Peyton Jones, Dimitrios Vytiniotis
Efficient and Sound Differentiable Programming in a Functional Array-Processing Language. CoRR (2022)
Maximilian Schleich, Amir Shaikhha, Dan Suciu
Optimizing Tensor Programs on Flexible Storage. CoRR (2022)
Amir Shaikhha
Deep Fusion for Efficient Nested Recursive Computations. GPCE (2022)
Amir Shaikhha, Mahdi Ghorbani, Hesam Shahrokhi
Hinted Dictionaries: Efficient Functional Ordered Sets and Maps. CoRR (2022)
Mathieu Huot, Amir Shaikhha
Denotationally Correct, Purely Functional, Efficient Reverse-mode Automatic Differentiation. CoRR (2022)
Amir Shaikhha, Mathieu Huot, Jaclyn Smith, Dan Olteanu
Functional collection programming with semi-ring dictionaries. Proc. ACM Program. Lang. 6 (OOPSLA) (2022)
Mahdi Ghorbani, Mathieu Huot, Shideh Hashemian, Amir Shaikhha
Compiling Structured Tensor Algebra. CoRR (2022)
Amir Shaikhha, Mahdi Ghorbani, Hesam Shahrokhi
Hinted Dictionaries: Efficient Functional Ordered Sets and Maps (Extended Abstract). ECOOP (2022)
Amir Shaikhha, Maximilian Schleich, Dan Olteanu
An Intermediate Representation for Hybrid Database and Machine Learning Workloads. Proc. VLDB Endow. 14 (12) (2021)
Amir Shaikhha, Mathieu Huot, Jaclyn Smith, Dan Olteanu
Functional Collection Programming with Semi-Ring Dictionaries. CoRR (2021)
Amir Shaikhha, Marios Kelepeshis, Mahdi Ghorbani
Fine-Tuning Data Structures for Analytical Query Processing. CoRR (2021)
Lionel Parreaux, Amir Shaikhha
Multi-stage programming in the large with staged classes. GPCE (2020)
Ziniu Wu, Amir Shaikhha
BayesCard: A Unified Bayesian Framework for Cardinality Estimation. CoRR (2020)
Amir Shaikhha, Mohammed Elseidy, Stephan Mihaila, Daniel Espino, Christoph Koch
Synthesis of Incremental Linear Algebra Programs. ACM Trans. Database Syst. 45 (3) (2020)
Jaclyn Smith, Michael Benedikt, Milos Nikolic, Amir Shaikhha
Scalable Querying of Nested Data. CoRR (2020)
Amir Shaikhha, Maximilian Schleich, Alexandru Ghita, Dan Olteanu
Multi-layer Optimizations for End-to-End Data Analytics. CoRR (2020)
Jaclyn Smith, Michael Benedikt, Milos Nikolic, Amir Shaikhha
Scalable Querying of Nested Data. Proc. VLDB Endow. 14 (3) (2020)
Amir Shaikhha, Maximilian Schleich, Alexandru Ghita, Dan Olteanu
Multi-layer optimizations for end-to-end data analytics. CGO (2020)
Amir Shaikhha, Vojin Jovanovic, Christoph E. Koch
Compiler generation for performance-oriented embedded DSLs (short paper). GPCE (2019)
Amir Shaikhha, Lionel Parreaux
Finally, a Polymorphic Linear Algebra Language (Pearl). ECOOP (2019)
Amir Shaikhha
Polymorphic extractors for semantic and portable pattern matching (short paper). GPCE (2019)
Amir Shaikhha, Andrew W. Fitzgibbon, Dimitrios Vytiniotis, Simon Peyton Jones
Efficient differentiable programming in a functional array-processing language. Proc. ACM Program. Lang. 3 (ICFP) (2019)
Amir Shaikhha, Vojin Jovanovic, Christoph Koch
A Compiler-Compiler for DSL Embedding. CoRR (2018)
Amir Shaikhha, Mohammad Dashti, Christoph Koch
Push versus pull-based loop fusion in query engines. J. Funct. Program. 28 (2018)
Amir Shaikhha, Yannis Klonatos, Christoph Koch
Building Efficient Query Engines in a High-Level Language. ACM Trans. Database Syst. 43 (1) (2018)
Lionel Parreaux, Antoine Voizard, Amir Shaikhha, Christoph E. Koch
Unifying analytic and statically-typed quasiquotes. Proc. ACM Program. Lang. 2 (POPL) (2018)
Mohammad Dashti, Sachin Basil John, Thierry Coppey, Amir Shaikhha, Vojin Jovanovic, Christoph Koch
Compiling Database Application Programs. CoRR (2018)
Amir Shaikhha, Andrew W. Fitzgibbon, Dimitrios Vytiniotis, Simon Peyton Jones, Christoph Koch
Efficient Differentiable Programming in a Functional Array-Processing Language. CoRR (2018)
Amir Shaikhha, Andrew W. Fitzgibbon, Simon Peyton Jones, Dimitrios Vytiniotis
Destination-passing style for efficient memory management. FHPC@ICFP (2017)
Lionel Parreaux, Amir Shaikhha, Christoph E. Koch
Squid: type-safe, hygienic, and reusable quasiquotes. SCALA@SPLASH (2017)
Mohammad Dashti, Sachin Basil John, Amir Shaikhha, Christoph Koch
Transaction Repair for Multi-Version Concurrency Control. SIGMOD Conference (2017)
Lionel Parreaux, Amir Shaikhha, Christoph E. Koch
Quoted staged rewriting: a practical approach to library-defined optimizations. GPCE (2017)
Amir Shaikhha, Yannis Klonatos, Christoph Koch
Building Efficient Query Engines in a High-Level Language. CoRR (2016)
Amir Shaikhha, Mohammad Dashti, Christoph Koch
Push vs. Pull-Based Loop Fusion in Query Engines. CoRR (2016)
Mohammad Dashti, Sachin Basil John, Amir Shaikhha, Christoph Koch
Repairing Conflicts among MVCC Transactions. CoRR (2016)
Amir Shaikhha, Yannis Klonatos, Lionel Parreaux, Lewis Brown, Mohammad Dashti, Christoph Koch
How to Architect a Query Compiler. SIGMOD Conference (2016)
Vojin Jovanovic, Amir Shaikhha, Sandro Stucki, Vladimir Nikolaev, Christoph Koch, Martin Odersky
Yin-yang: concealing the deep embedding of DSLs. GPCE (2014)
Christoph Koch, Yanif Ahmad, Oliver Kennedy, Milos Nikolic, Andres Nötzli, Daniel Lupei, Amir Shaikhha
DBToaster: higher-order delta processing for dynamic, frequently fresh views. VLDB J. 23 (2) (2014)