Emprical evaluations of SC-MCC Meta-Program efficiency using Dynamic Symbolic Execution Engine

This artefact is prepared to make the data available for the "Emprical evaluations of SC-MCC Meta-Program efficiency using Dynamic Symbolic Execution Engine" paper. It contains all the experimental results.

Institutions

National Institute of Technology Warangal (IN)

Publication Details

Journal: Zenodo (CERN European Organization for Nuclear Research)
Published: 2024-12-01
DOI: https://doi.org/10.5281/zenodo.14252992
Primary Topic: Parallel Computing and Optimization Techniques
Type: article
Field-Weighted Citation Impact: 0.00

Controls

|||

ALL TIME

JAN

FEB

MAR

APR

MAY

JUN

JUL

AUG

SEP

OCT

article

Emprical evaluations of SC-MCC Meta-Program efficiency using Dynamic Symbolic Execution Engine

Dec 1, 2024

Zenodo (CERN European Organization for Nuclear Research)

Parallel Computing and Optimization Techniques

article

Emprical evaluations of SC-MCC Meta-Program efficiency using Dynamic Symbolic Execution Engine

December 1, 2024article en

Abstract

Zenodo (CERN European Organization for Nuclear Research)

National Institute of Technology Warangal (IN)

Industry, innovation and infrastructure

Openalex Percentile: Top 52%

Parallel Computing and Optimization Techniques

DOI Open Access PDF OpenAlex

AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Emprical evaluations of SC-MCC Meta-Program efficiency using Dynamic Symbolic Execution Engine · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS