Research topic
This topic groups research on performance behavior in multicore and parallel systems. The records address thread scheduling, synchronization, resource contention, execution paths, waiting dependencies, and system-level evidence for explaining variation across cores and workloads.
Related search terms: multi-core systems · parallel execution analysis · multicore performance
9 papers in this topic, ordered newest first. The detailed paper records contain the evidence-grounded methods, tools, datasets, findings, and citation guidance.
2022 · Concurrency and Computation: Practice and Experience
The paper combines model-based quantitative constraints with user-space and kernel execution traces to automatically identify likely causes of real-time and multicore constraint violations.
Keywords: model-based constraints · execution tracing · user-space traces · kernel traces · LTTng
2022 · Performance Evaluation
The paper unifies Chromium user-space events with Linux kernel scheduling and resource events to analyze execution paths and localize sporadic latency in a complex multithreaded application.
Keywords: multi-thread applications · execution paths · performance evaluation · thread behavior
2021 · International Journal of Parallel Programming
The paper automatically builds an approximate workflow model and adaptive quantitative constraints from user-space and kernel execution traces, reducing manual model construction for real-time and multicore diagnosis.
Keywords: model-based constraints · execution tracing · multi-core systems · real-time applications · constraint generation
2021 · Sensors
The paper presents a modular client-server architecture for large-trace storage, analysis, and visualization inside an integrated development environment.
Keywords: distributed architecture · Trace Compass · TraceScape · LTTng 2.10.3 · Trace Analysis Server Protocol
2021 · 2021 IEEE International Systems Conference (SysCon)
The work bridges kernel-level hardware-counter sampling and user-space interpreter state so execution-path profiling can attribute performance evidence to interpreted code.
Keywords: execution paths · hardware performance counters · critical-path profiling · CPython · PyPMU
2020 · IEEE 20th International Working Conference on Source Code Analysis and Manipulation (SCAM)
DepGraph uses system-level tracing to expose the waiting dependencies that divide a task's execution time across threads and hardware resources.
Keywords: waiting dependency graph · system-level tracing · blocking dependencies · performance bottlenecks · thread-resource interactions
2019 · International Journal of Parallel Programming
The paper partitions Common Trace Format streams into balanced workloads, resolves cross-chunk state dependencies, and parallelizes stateful trace analyses with low synchronization cost.
Keywords: trace analysis · parallelization · analysis scalability · multicore processing · CTF
2016 · IEEE BigData Congress
eSHT redesigns the State History Tree to store and query highly parallel trace intervals more compactly and with shallower trees.
Keywords: Enhanced State History Tree · eSHT · State History Tree · interval data · external-memory indexing
2012 · 16th IASTED International Conference on Software Engineering and Applications (SEA 2012)
The paper introduces a stateful trace-abstraction architecture that shares modeled system state and intermediate computation across concurrent patterns to reduce the cost of analyzing large Linux kernel traces.
Keywords: multi-core tracing · LTTng · Linux kernel 2.6.38.6 · stateful trace analysis · trace abstraction