Bachelor's/Master's Thesis Position in Global Static Data Reordering with LLVM (m/f/d)

1 Year ago • All levels

Job Summary

Job Description

We are seeking a motivated Bachelor's or Master's student for a thesis project focused on global and static data reordering using LLVM. This role involves working on cutting-edge compiler optimization techniques to enhance software performance through data layout transformations, driven by CPU performance events. Responsibilities include researching data layout optimization, developing LLVM passes for reordering, analyzing performance impacts, collaborating with experts, and documenting findings. Prior experience with LLVM or similar compiler frameworks and a solid understanding of compiler concepts are desirable.
Must have:
  • Enrolled in Bachelor's or Master's in Computer Science/Software Engineering.
  • Prior experience with LLVM or similar compiler frameworks.
  • Solid grasp of data layout strategies and optimization techniques.
  • Strong problem-solving and performance analysis skills.
  • Good written and verbal communication skills.

Job Details

Job Details:

Job Description: 

We are seeking a motivated and talented Bachelor's or Master's student to undertake a thesis project focused on global and static data reordering using LLVM. This position offers a unique opportunity to work on cutting-edge compiler optimization techniques, enhancing the performance of software systems through data layout transformations. The reordering will be based on CPU performance events, providing a practical and data-driven approach to optimization.

Key Responsibilities:

  • Conduct research and a literature review on static data layout optimization techniques and their impact on program performance.
  • Collaborate with compiler engineers to develop a prototype or extend existing LLVM passes for global static data reordering based on CPU performance events.
  • Analyze the performance impact of data reordering on various software benchmarks and real-world applications.
  • Collaborate with domain experts and supervisors to refine approaches and validate results.
  • Document research findings, implementation details, and results comprehensively for thesis submission and possible publication.

Qualifications:

Requirements:

  • Academic Background: Enrolled in a Bachelor's or Master's program in Computer Science, Software Engineering, or a related field.
  • Knowledge of LLVM: Prior experience with LLVM or similar compiler frameworks is highly desirable.
  • Understanding of Compiler Concepts: Solid grasp of data layout strategies and optimization techniques.
  • Analytical Skills: Strong problem-solving abilities with a focus on performance analysis and optimization.
  • Communication: Good written and verbal communication skills for documenting and presenting findings.

          

Job Type:

Student / Intern

Shift:

Shift 1 (Germany)

Primary Location: 

Germany, Munich

Additional Locations:

Business group:

The Client Computing Group (CCG) is responsible for driving business strategy and product development for Intel's PC products and platforms, spanning form factors such as notebooks, desktops, 2 in 1s, all in ones. Working with our partners across the industry, we intend to deliver purposeful computing experiences that unlock people's potential - allowing each person use our products to focus, create and connect in ways that matter most to them. As the largest business unit at Intel, CCG is investing more heavily in the PC, ramping its capabilities even more aggressively, and designing the PC experience even more deliberately, including delivering a predictable cadence of leadership products. As a result, we are able to fuel innovation across Intel, providing an important source of IP and scale, as well as help the company deliver on its purpose of enriching the lives of every person on earth.

Posting Statement:

All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

Position of Trust

N/A

Work Model for this Role

This role will require an on-site presence. * Job posting details (such as work model, location or time type) are subject to change.

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