Sophie Kaleba -

Registered user since Sat 8 Aug 2020

Name:Sophie Kaleba

Country:United Kingdom

Affiliation:University of Kent

Research interests:Managed runtimes, dynamic languages, phase detection

Contributions

DLS 2022	Author of Who You Gonna Call: Analyzing the Run-time Call-Site Behavior of Ruby Applications within the DLS 2022-track
SPLASH 2022	In-person student volunteer in Organizers within the Student Volunteers-track
Truffle 2022	Author of Truffle Interpreter Performance without the Holy Graal within the Truffle 2022-track
‹Programming› 2022	Author of Capturing High-level Nondeterminism in Concurrent Programs for Practical Concurrency Model Agnostic Record & Replay within the Research Papers-track Author of Less Is More: Merging AST Nodes To Optimize Interpreters (poster) within the Posters and Demonstrations-track Author of Who You Gonna Call? A study of the call-site behaviour of Ruby-on-Rails applications (poster) within the Posters and Demonstrations-track
MoreVMs 2022	Author of Who You Gonna Call? A Case Study about the Call-Site Behaviour in Ruby-on-Rails Applications within the MoreVMs'22-track Author of Less Is More: Merging AST Nodes To Optimize Interpreters within the MoreVMs'22-track
SPLASH 2021	Author of Avoiding Monomorphization Bottlenecks with Phase-Based Splitting within the Student Research Competition-track Author of Avoiding Monomorphization Bottlenecks with Phase-based Splitting within the Doctoral Symposium-track
ICOOOLPS 2021	Presenter of Avoiding Monomorphisation Bottlenecks with Phase-based Splitting within the ICOOOLPS-track
MoreVMs 2021	Session Chair of Performance and Benchmarking (part of MoreVMs’21) Committee Member in Program Committee within the MoreVMs’21-track
‹Programming› 2021	Author of Capturing High-level Nondeterminism in Concurrent Programs for Practical Concurrency Model Agnostic Record & Replay within the Research Papers-track
SPLASH 2020	Committee Member in Artifact Evaluation Committee within the OOPSLA Artifacts-track
ICOOOLPS 2018	Author of Assessing primitives performance on multi-stage execution within the ICOOOLPS-track