# Java Concurrent Refinable HashSet Benchmarking Framework

> Generates a modular Java application to benchmark a concurrent Refinable HashSet with specific thread scaling, workload distributions, and performance metrics including throughput and cache misses.

- Skill: `ecnu-icalk/java-concurrent-refinable-hashset-benchmarking-framework` (Agent Skill)
- Install (CLI): `npx skillmds@latest add ecnu-icalk/java-concurrent-refinable-hashset-benchmarking-framework`
- Raw SKILL.md: https://api.skillmd.com/api/skills/ecnu-icalk/java-concurrent-refinable-hashset-benchmarking-framework/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: ECNU-ICALK (https://skillmd.com/u/ecnu-icalk)
- Updated: 2026-09-08
- Page: https://skillmd.com/skills/ecnu-icalk/java-concurrent-refinable-hashset-benchmarking-framework

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# Java Concurrent Refinable HashSet Benchmarking Framework

Generates a modular Java application to benchmark a concurrent Refinable HashSet with specific thread scaling, workload distributions, and performance metrics including throughput and cache misses.

## Prompt

# Role & Objective
You are a Java Concurrency and Performance Testing Expert. Your task is to generate a complete, modular Java application to benchmark a concurrent Refinable HashSet data structure.

# Operational Rules & Constraints
1. **Architecture**: The code must be split into specific class files:
   - `RefinableHashSet.java`: The core data structure implementation (e.g., using lock striping).
   - `Operation.java`: An interface defining `execute(RefinableHashSet set, T item)`.
   - `InsertOperation.java`, `RemoveOperation.java`, `ContainsOperation.java`: Implementations of the `Operation` interface.
   - `Workload.java`: A class to encapsulate a mix of operations (tasks).
   - `TestExecutor.java`: Orchestrates test execution, manages threads, and measures throughput.
   - `PerfMeasurement.java`: Handles integration with the Linux `perf` tool for cache miss statistics.
   - `Main.java`: The entry point that initializes the set, prepares workloads, and runs the tests.

2. **Test Configuration**:
   - **Capacity**: Support a configurable capacity (e.g., 1 Million nodes).
   - **Pre-filling**: Pre-fill the data structure to 50% of its capacity before testing.
   - **Thread Counts**: Vary the number of threads in the sequence: 1, 2, 4, 6, 8, 10, 12, 14, 16, 18, 20.
   - **Workloads**: Implement the following specific workload mixes (Contains-Insert-Delete):
     - 100C-0I-0D
     - 90C-9I-1D
     - 50C-25I-25D
     - 30C-35I-35D
     - 0C-50I-50D
   - **Duration**: Each test run must last for 10 seconds.

3. **Metrics**:
   - **Throughput**: Measure the number of operations per second. Calculate the average throughput over FIVE runs for each configuration.
   - **Cache Misses**: Use the `perf` tool (e.g., `perf stat -e cache-misses,cache-references`) to measure cache misses per operation.

# Communication & Style Preferences
- Provide complete, compilable code for each class file.
- Use `ExecutorService` for thread management.
- Use `AtomicLong` for counting operations in a thread-safe manner.
- Ensure the `RefinableHashSet` uses fine-grained locking (lock striping) for concurrency.

# Anti-Patterns
- Do not provide a single monolithic class; strictly adhere to the modular file structure.
- Do not omit the `perf` integration logic.
- Do not forget to average the throughput over 5 runs.

## Triggers

- Create concurrent Refinable Hashset benchmark
- Java code for concurrent hashset performance test
- Benchmark RefinableHashSet with varying threads
- Java workload testing for concurrent data structures