[INTERNSHIP] Hardware Memory Access Visualization with DAMONDAMO
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Job Location:
Castelldefels - Spain
Monthly Salary:
Not Disclosed
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
About SiPearl
SiPearl is the European fabless designer of sovereign secure high-performance energy-efficient CPUs for HPC AI and data centres. These CPUs will help address strategic challenges in the fields of security defence medical research energy climate and engineering with a reduced environmental footprint.
In June 25 SiPearl completed the design of the most complex CPU ever designed in Europe Rhea1. Featuring 80 Arm Neoverse V1 cores with 61 billion transistors it is currently in production at TSMC. Sipearl CPUs will equip the two first European exascale supercomputers belonging to EuroHPC JU: Rhea1 will be integrated into the JUPITER machine based in Germany and Rhea2 will be part of Alice Recoque in France.
Incubated within the European Processor Initiative (EPI) consortium and seed-funded by the European Union SiPearl employs almost 200 people in :
France (Maisons-Laffitte Grenoble Massy Sophia Antipolis)
Spain (Barcelona)
and Italy (Bologna)
Following a 130 million Series A the company has launched its Series B round.
Missions
Modern systems often feature heterogeneous memory (DDR HBM NUMA nodes complex SoC interconnects) making it difficult to understand memory behavior. Traditional tools rarely provide physical address heatmaps so its unclear which memory regions are accessed and how data flows through interconnects.
This internship will explore DAMON (Data Access MONitor) particularly DAMO to visualize memory access patterns at the physical address level and support the Linux Kernel team in analyzing and optimizing memory usage.
During this internship you will:
Study and analyze heterogeneous memory architectures including DDR HBM NUMA nodes and SoC interconnect fabrics (SN-F / HN-F nodes)
Investigate memory access patterns under specific workloads (e.g. stress-ng) and real-world benchmarks
Explore and evaluate the use of DAMON (Data Access MONitor) particularly DAMO to visualize memory accesses at the physical address level
Develop tools or scripts to collect process and visualize memory access data
Analyze results to better understand memory behavior and performance bottlenecks
Document your findings methodology and tools for the Linux kernel team
What makes you a good match for the role
Student in the final year of an engineering school or pursuing a Masters degree in electronics computer engineering or a related field
Good understanding of Linux kernel internals
Strong C and Linux kernel fundamentals (memory management paging NUMA sysfs)
Good understanding of computer architecture (DDR HBM memory controllers interconnects cache hierarchy)
Familiarity with performance analysis tools (e.g. perf stress-ng PMU counters)
Good written and spoken English
Location -> Castelldefels
Key Skills
About Company
SiPearl is the European fabless designer of sovereign secure high-performance energy-efficient CPUs for HPC, AI and data centres. These CPUs will help address strategic challenges in the fields of security, defence, medical research, energy, climate and engineering with a reduced envi ... View more
