Go vs. Java: A Detailed Performance Analysis in Concurrent Programming
Bibliographic record
Abstract
Go, a programming language developed by Google, is relatively new but offers modern and powerful features, including similarities to Java and an emphasis on rapid development and concurrency. This paper examines Go's performance compared to Java, focusing on compile time and concurrency. As applications increasingly require concurrent data transmission, there is a strong demand for languages optimized for such tasks. Although many studies compare programming languages, few specifically investigate Go, and some of these evaluations are based on its experimental release. In this paper, we analyze the concurrency features of Go and Java through a comprehensive performance analysis, considering their runtime, memory usage, and unique concurrency capabilities.To analyze concurrency features, we implemented CRUD operations on a single MySQL table using both Go and Java programs. Go utilizes its built-in lightweight thread, Goroutine, while Java uses Java Thread. We conducted our experiments by running the programs a thousand times and analyzed the resulting data using various statistical parameters and graphs.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".