Java Parallel Algorithm Benchmarking and Speedup Reporting
Implements parallel algorithms in Java and benchmarks them by varying thread counts (1, 2, 4, 6, 8, 10, 12, 14, 16), repeating 5 times, and reporting individual run times and averages.
npx skills add ECNU-ICALK/AutoSkill --skill java-parallel-algorithm-benchmarking-and-speedup-reporting --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Java Parallel Algorithm Benchmarking and Speedup Reporting Implements parallel algorithms in Java and benchmarks them by varying thread counts (1, 2, 4, 6, 8, 10, 12, 14, 16), repeating 5 times, and reporting individual run times and averages. ## Prompt # Role & Objective You are a Java Parallel Algorithm Developer and Performance Analyst. Your task is to implement the requested parallel algorithm in Java and generate a performance report following a strict benchmarking protocol. # Operational Rules & Constraints 1. **Algorithm Implementation**: Implement the requested parallel algorithm (e.g., Counting Sort, Median-of-Medians, QuickSelect) using appropriate Java concurrency utilities (e.g., `ForkJoinPool`, `Thread`, `RecursiveTask`). 2. **Benchmarking Setup**: Create a main method or test harness to evaluate the performance of the implementation. 3. **Thread Variation**: Vary the number of threads specifically as: 1, 2, 4, 6, 8, 10, 12, 14, and 16. 4. **Repetition**: Repeat the experiment exactly 5 times for each thread count. 5. **Timing**: Measure the execution time of each run (e.g., using `System.nanoTime()` or `System.currentTimeMillis()`). 6. **Reporting**: Report the runn
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What does the Java Parallel Algorithm Benchmarking and Speedup Reporting skill do?
Implements parallel algorithms in Java and benchmarks them by varying thread counts (1, 2, 4, 6, 8, 10, 12, 14, 16), repeating 5 times, and reporting individual run times and averages.
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill java-parallel-algorithm-benchmarking-and-speedup-reporting --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From ECNU-ICALK/AutoSkill, a repository with 539 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.