Here we are discussing cM extensions and possible collaborative projects/internships

Adding past research techniques, tools and data to cM

• cM microkernel/codelet/benchmark and dataset creator
• cM reproducible execution
• cM reproducible experimental pipeline
• Program decomposition into codelets
• Add more tools for auto-tuning (source-to-source polyhedral tools, HMPP, etc)
• Add/generate more program/architecture features using Alchemist

Validating and extending past research techniques

• Implement various focused search techniques
• Improve optimization predictions
• Find representative benchmarks and datasets
• Characterization of program and architecture behavior by breaking code semantics
• Add universal modeling of program behavior (performance, power, CPI, etc)
• Run-time adaptation (scheduling) through static multi-versioning and dynamic reaction to changes in program/system behavior and dataset parameters
• Add agent-based whole system optimization and adaptation)

Improving cM

• Improve data visualization using JavaScript to avoid page scrolling or showing all unnecessary info
• Support python3
• Create Linux package (Debian, etc)
• Add more function and uni tests
• Improve cM bootstraping and kernel (remove data search duplications)
• Improve/speed up searching in repository
• Improve visualization of tables with experimental results (add universal multi-column sorting, extend export function)
• Improve handling of dependencies between data and modules (speed it up) including in cM web front-end (add AJAX or Java Script)
• Improve P2P data/module exchange
• Improve data browsing and online pruning by classes
• Speed up visualization of graphs and tables for aggregated experiments
• Perform online data pruning (using AJAX) for aggregated experiments
• Improve registration process and password reminders

Setting up new publication model

• Prepare new ADAPT workshop/conference/journal with validation of experiments (for HiPEAC or CGO, etc) - collaborators are very welcome!