Masters Thesis: Measurement-driven DSP Superoptimization
Technology, Data & Digital · Software & Web Development · Software Engineering · Embedded Systems
In short
This Master's thesis project focuses on measurement-driven DSP superoptimization for Ericsson's Many Core Architecture (EMCA) compiler. You will survey state-of-the-art techniques, develop a compiler back-end cost model for enhanced optimization, expand DSP instruction support, and evaluate performance improvements on production code.
Responsibilities
- Survey the state of the art in superoptimization.
- Use the compiler back-end as the cost model, compiling candidates for the target DSP and measuring generated code properties.
- Expand the set of DSP instructions the superoptimizer can reason about, enabling discovery of efficient DSP-specific instruction uses.
- Evaluate offline on production DSP code, considering performance improvements and memory footprint reductions.
Requirements
- Master’s student in Computer Science or Computer Engineering.
- Experience in C/C++.
- Experience working with low-level programming, compilers, and assembly-level optimization.
- Willingness to develop skills in LLVM development and formal methods.
Desired Qualifications
- Experience in LLVM development.
- Skills in formal methods.
Benefits
- Outstanding opportunity to use your skills and imagination to push boundaries.
- Build solutions never seen before.
- Be challenged but not alone.
- Join a team of diverse innovators.
- Work directly on a production compiler and DSP program performance.
#Compiler#DSP#Superoptimization#VLIW#LLVM#SMT Solver#Real-time#Performance Optimization#Memory Footprint#ASIC Architecture#Master Thesis
Company
Ericsson
Job Posted
3 days ago
Employment Type
Internship
WorkMode
On Site
Experience Level
Student
Locations
Linköping, Sweden
Qualification
Master
Applicants
Be an early applicant