Benchmarking and Optimization of the Sieve of Eratosthenes in Python and C++

This paper presents a systematic benchmarking study of the Sieve of Eratosthenes algorithm across Python and C++ implementations. We evaluate eight variants including naive Python, NumPy vectorized, odd-optimized, and memory-efficient versions, alongs

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Published
2025-09-15
DOI
https://doi.org/10.22541/au.175793436.63536096/v1
Primary Topic
Botanical Research and Chemistry
Type
article
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article

Benchmarking and Optimization of the Sieve of Eratosthenes in Python and C++

Mitrajit Ghorui
Botanical Research and Chemistry
article

Benchmarking and Optimization of the Sieve of Eratosthenes in Python and C++

Mitrajit Ghorui
article en

Abstract

This paper presents a systematic benchmarking study of the Sieve of Eratosthenes algorithm across Python and C++ implementations. We evaluate eight variants including naive Python, NumPy vectorized, odd-optimized, and memory-efficient versions, alongs

National Institute of Technology Warangal (IN)
Openalex Percentile: Top 80%
Botanical Research and Chemistry
DOIOpen Access PDFOpenAlex
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Benchmarking and Optimization of the Sieve of Eratosthenes in Python and C++ — Mitrajit Ghorui · (2025) | TGRS Research Map | TGRS