Research Publication & Translation
From Benchmarks to Breakthroughs: Maximizing Scientific Impact and Utilization.
The Standard for Impact in 2026
In 2026, scientific impact is no longer measured solely by citation counts. It is defined by computational reproducibility, open-source adoption, and cross-sector translation. We help researchers navigate the rapid evolution of HPC venues, ensuring that their code, data, and manuscripts achieve the recognition and real-world utilization they deserve.
1. Navigating the 2026 HPC Landscape
Tier-1 Conferences
In HPC, conferences move faster than journals. We target premier venues like SC (Supercomputing) for architecture, ISC for energy efficiency, and IPDPS for foundational parallel algorithms.
The "Artifact" Track
Modern venues now offer dedicated categories for "Open-Source Tools." We help you prepare your software to be recognized as a first-class scientific contribution.
2. Best Practices for High-Impact Manuscripts
Reviewers in 2026 prioritize transparency over "hero runs." We assist in developing key sections that secure "Artifact Evaluated" badges:
Roofline Analysis
Don't just show scaling. We help you use Roofline Models to prove how close your code operates to the absolute hardware limits of the cluster.
Parallel Decomposition
High-resolution diagrams explaining your domain decomposition are critical. We translate complex parallel logic into intuitive visuals for reviewers.
3. Maximizing Research Translation
Translation is moving research into the hands of industry, government, and other scientists:
Measuring Impact Beyond Citations
| Metric Type | Indicator / Tool | What it proves |
|---|---|---|
| Academic | Web of Science / Scopus | Traditional peer influence and scholarly reach. |
| Attention | Altmetric Doughnut | Mentions in news, policy documents, and social media. |
| Technical | GitHub Stars / Forks | Community adoption and software sustainability. |
| Utilization | Spack / Conda Downloads | Real-world usage in other research pipelines. |
Final Publication Checklist
- Formatting: Strict adherence to ACM/IEEE
sigconftemplates. - Anonymization: Removal of names and funding IDs for double-blind reviews.
- Reproducibility: README allows reproduction of flagship figures in under one hour.
- Licensing: Clear Apache 2.0 or MIT license for community leverage.
Make Your Research Matter
Download our "HPC Artifact Submission Guide" to ensure your code and data pass the most rigorous peer-review standards.
Download Publication Guide (.pdf)