A composable and fully extensible C++ execution engine library for data management systems.
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Updated
Dec 13, 2024 - C++
A composable and fully extensible C++ execution engine library for data management systems.
C-Store : A column-oriented DBMS prototype (frozen)
Leverages extensive power of multiple Machine Learning algorithms & LLM to provide in-depth answers to medical queries and predicts condition/diseases based on patient symptoms
Indoor Spatial Queries: Modeling, Indexing, and Processing
A DBMS project on Textile Store Management using StreamLit-Python for the frontend app
Codes for our ADMS'24 paper "Bandwidth Expansion via CXL: A Pathway to Accelerating In-Memory Analytical Processing".
An efficient layer to perform query processing on top of Terrier
Efficient caching for non-volatile memory-backed search indices. A thesis submitted for undergraduate honours for the degree Software Engineering.
Source code for the paper "k-Distance Approximation for Memory-Efficient RkNN Retrieval"
This repo consists of all the assignments, projects, tasks of Information Retrieval course of FAST NUCES Spring 2023.
Labs for Databases II
Simple search system that includes inverted index builder and boolean query processor for information retrieval.
Data Processing At Scale
Implementation and artifacts for "User-Defined Operators: Efficiently Integrating Custom Algorithms into Modern Databases"
A library to support distributed matrix computation for machine learning and data analysis
Inverted index and Positional index for a set of collection to facilitate Boolean Model of IR. Inverted files and Positional files are the primary data structure to support the efficient determination of which documents contain specified terms and at which proximity.
Tunable Query Optimizer for Web APIs and User Preferences
This repository consists of presentations about Advanced DBMS concepts.
A lightweight database engine supporting CRUD, simple queries, and concurrency control with a CLI.
Developed an SQL engine that will run a subset of SQL queries using command-line interface
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