- High Performance Computing
- Applications Traces
- Monitoring & Collection Aggregation & Visualization Runtime
- +۵ مورد دیگر
Guillaume Huard is an Associate Professor at Grenoble Alpes University, affiliated with the LIG Laboratory and the POLARIS Research Team . His research focuses on high-performance computing (HPC), particularly in tracing, performance analysis, and optimization of parallel applications, compiler optimization, and architecture. PhD in 2002 from École Normale Supérieure de Lyon under Alain Darte His research interests span applications tracing, monitoring and visualization of runtime data, application deployment, scheduling, performance evaluation, resource utilization, and cache/memory footprint optimization. His work often addresses challenges in NUMA architectures and large-scale trace analysis. Guillaume's publications highlight trends in memory trace collection (e.g., Moca system), spatiotemporal data aggregation, NUMA-aware visualization tools (e.g., TABARNAC), and cache utilization control. Key subfields include performance debugging, compiler transformations, runtime environments, and multidimensional data aggregation techniques. Guillaume is actively involved in the POLARIS Bootcamp and DATAMOVE/POLARIS events , contributing to collaborative research and educational initiatives in HPC.