<Title> <presenter name> <presenter title> <affiliation – seeking institutional diversity> <location – seeking geo diversity>

What’s unique about my tuning work <App name, brief description> <Application domain – seeking diversity> <Execution mode: native, offloaded, symmetric MPI, cluster> <Tools used for development, analysis and debugging – seeking diversity of experiences and tools> <Alignment with vectorization effectiveness and/or memory tuning>

Performance <Compelling performance: with vs. without MIC> <Competitive performance, if available> <How much each of original host code and code with MIC was sped up (e.g. Xeon 1.3x, MIC 2.2x)> <List of optimizations that yielded perf improvements, how much each gave (order dependent), why I thought that’d help, and how generalizable I think such optimization is>

Insights <What we learned> <What we recommend and how we would have done it differently> <Which tools and optimizations were most useful and why? <Biggest surprises> <Key remaining challenges, where we might want help> <Questions we’d like to raise> <Who we’re thinking of collaborating with>

Tutorial Submission Title: Subject/technology: Learning objectives: Target audience: Full day or ½ day? Submitting organization: Contact: Past tutorials given (if any):