Master Thesis: FFT Instruction in DSP

Teknik, data och digitalt · Mjukvaru- och webbutveckling · Inbyggda system · Mjukvaruutveckling

I korthet

This Master Thesis project investigates Fast Fourier Transform (FFT) algorithms and implementation strategies for a vector SIMD DSP. You will analyze performance, optimize code in assembler, and potentially propose new hardware instructions, combining software optimization with hardware/software co-design aspects.

Ansvarsområden

Study FFT variants such as mixed-radix, split-radix, and other relevant approaches.
Analyze and compare FFT implementation strategies for a vector SIMD DSP.
Map FFT stages, twiddle-factor operations, permutations, and data movement to the existing vector SIMD instruction set.
Implement and optimize FFT kernels primarily in assembler, utilizing existing processor instructions and built-in accelerators.
Evaluate alternative data layouts, memory-access patterns, vectorization techniques, and instruction scheduling strategies.
Benchmark implementations with respect to execution time, code size, memory traffic, numerical accuracy, and implementation complexity.
Identify performance bottlenecks and limitations of the current instruction set.
Propose and evaluate new hardware instructions or instruction-set extensions.
Prototype or model promising instruction extensions and assess their impact on FFT performance.
Recommend efficient hardware/software implementation strategies based on identified trade-offs.

Krav

Background in computer architecture, low-level programming, embedded systems, digital signal processing, or a related field.
Strong interest in programming close to the hardware, including assembler programming, SIMD architectures, instruction scheduling, and performance optimization.
Understanding of FFT algorithms, numerical methods, and signal-processing fundamentals.
Interest in processor architecture, instruction-set design, hardware/software co-design, or hardware modelling.
Analytical problem-solving skills and the ability to evaluate complex technical trade-offs.
Curiosity about how algorithms, software implementations, and hardware architectures interact to influence system performance.
Ability to work independently and communicate technical findings in both written and verbal form.

Förmåner

Outstanding opportunity to use your skills and imagination to push the boundaries of what's possible.
Opportunity to build solutions never seen before to some of the world's toughest problems.
Will be challenged, but not alone.
Joining a team of diverse innovators.
Opportunity to go beyond the status quo to craft what comes next.

Färdigheter

AssemblerFFT algorithmsDSPSIMDComputer architectureEmbedded systemsSignal processingHardware modeling

#FFT#DSP#SIMD#Assembler#Thesis#Master Thesis#Computer Architecture#Signal Processing#Embedded Systems

Om Ericsson

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