Difference between revisions of "Digital"

Revision as of 23:11, 23 November 2023

Topic List

• High Performance SoCs
  • Heterogeneous Acceleration Systems
• HW/SW Safety and Security
  • Real-Time Embedded Systems
  • Cryptographic Hardware
  • Fault Tolerance
• Biomedical Circuits, Systems, and Applications
  • Digital Medical Ultrasound Imaging
  • Flexible Electronic Systems and Embedded Epidermal Devices
  • Human Intranet
  • Wearables for Sports and Fitness Tracking
• Artificial Intelligence
• Embedded Systems and autonomous UAVs
  • Energy Efficient Autonomous UAVs
  • Low Power Embedded Systems
  • Embedded Artificial Intelligence:Systems And Applications
• ASIC Design Projects

External Collaborations

Topic List

• Biomedical System on Chips
• Wireless Communication Systems for the IoT
• IBM Research
• Huawei Research - Future Computing Laboratory (Computer Architecture and Machine Learning Acceleration)
• Students' International Competitions: F1(AMZ), Swissloop, Educational Rockets
• Physics is looking for PULP

Projects

All projects are annotated with one or more possible project types (M/S/B/G) and a number of students (1 to 3).

• M: Master's thesis: 26 weeks full-time (6 months) for one student only
• S: Semester project: 14 weeks half-time (1 semester lecture period) or 7 weeks full-time for 1-3 students
• B: Bachelor's thesis: 14 weeks half-time (1 semester lecture period) for one student only
• G: Group project: 14 weeks part-time (1 semester lecture period) for 2-3 students

Usually, these are merely suggestions from our side; proposals can often be reformulated to fit students' needs.

Available Projects

These are the projects that were recently made available. Please have a look at the individual topic list pages to find more available projects or talk to one of the supervisors directly if you are interested in his topics. Whether a thesis is available as a master or semester thesis is most of the time negotiable with the supervisor. Don't hesitate to show interest in a master thesis topic even though you are e.g. looking for a semester thesis.

• GPT on the edge
• Audio Visual Speech Separation and Recognition (1S/1M)
• On-Device Learnable Embeddings for Acoustic Environments
• On-Device Federated Continual Learning on Nano-Drone Swarms
• FPGA mapping of RPC DRAM
• Hardware Exploration of Shared-Exponent MiniFloats (M)
• Extending our FPU with Internal High-Precision Accumulation (M)
• Extreme-Edge Experience Replay for Keyword Spotting
• Learning at the Edge with Hardware-Aware Algorithms
• Extending the HERO RISC-V HPC stack to support multiple devices on heterogeneous SoCs (M/1-3S)
• NeuroSoC RISC-V Component (M/1-2S)

Active Projects

These are the projects that are currently active:

• ASR-Waveformer
• GDBTrace: A Post-Simulation Trace-Based RISC-V GDB Debugging Server (1S)
• A RISC-V ISA Extension for Scalar Chaining in Snitch (M)
• Designing a Scalable Miniature I/O DMA (1-2B/1-3S/M)
• Fault-Tolerant Floating-Point Units (M)
• Creating a Free and Open-Source Verification Environment for Our New DMA Engine (1-3S/B)
• Implementation of a Cache Reliability Mechanism (1S/M)
• Efficient collective communications in FlooNoC (1M)
• On-Board Software for PULP on a Satellite
• A RISC-V fault-tolerant many-core accelerator for 5G Non-Terrestrial Networks (1-2S/B)
• Zephyr RTOS on PULP
• Investigation of Quantization Strategies for Retentive Networks (1S)
• Streaming Layer Normalization in ITA (M/1-2S)
• Physical Implementation of ITA (2S)
• 3D Matrix Multiplication Unit for ITA (1S)
• Virtual Memory Ara
• New RVV 1.0 Vector Instructions for Ara
• Big Data Analytics Benchmarks for Ara
• Creating A Technology-independent USB1.0 Host Implementation Targetting ASICSs (1-3S/B)
• Runtime partitioning of L1 memory in Mempool (M)
• Vector-based Manycore HPC Cluster Exploration for 5G Communication Algorithm (1-2M)
• Radiation Testing of a PULP ASIC
• Ultrasound Doppler system development
• On - Device Continual Learning for Seizure Detection on GAP9
• Ultrasound-EMG combined hand gesture recognition
• A RISC-V ISA Extension for Pseudo Dual-Issue Monte Carlo in Snitch (1M/2S)
• Accelerating Matrix Multiplication on a 216-core MPSoC (1M)
• Ternary Neural Networks for Face Recognition
• Coherence-Capable Write-Back L1 Data Cache for Ariane (M)
• Efficient TNN compression
• Event-Driven Vision on an embedded platform
• ASIC Development of 5G-NR LDPC Decoder
• Channel Estimation for 5G Cellular IoT and Fast Fading Channels
• An all Standard-Cell Based Energy Efficient HW Accelerator for DSP and Deep Learning Applications

Completed Projects

These are projects that were completed in the last few years:

2023

• A reduction-capable AXI XBAR for fast M-to-1 communication (1M)
• Integrating an Open-Source Double-Precision Floating-Point DivSqrt Unit into CVFPU (1S)
• Feature Extraction and Architecture Clustering for Keyword Spotting (1S)
• Design and Implementation of a Fully-digital Platform-independent Integrated Temperature Sensor Enabling DVFS in Open-source Tapeouts (1-3S/B)
• Design of a Scalable High-Performance and Low-Power Interface Based on the I3C Protocol (1-3S/B)
• Investigating the Cost of Special-Case Handling in Low-Precision Floating-Point Dot Product Units (1S)
• Design of a CAN Interface to Enable Reliable Sensors-to-Processors Communication for Automotive-oriented Embedded Applications (1M)
• Design of an Energy-Efficient Ethernet Interface for Linux-capable Systems
• Enabling Efficient Systolic Execution on MemPool (M)
• Network-off-Chip (M)
• Design of an Area-Optimized Soft-Error Resilient Processing Core for Safety-Critical Systems (1M)
• Optimal routing for 2D Mesh-based Analog Compute-In-Memory Accelerator Architecture (IBM-Zurich)
• Benchmarking a heterogeneous 217-core MPSoC on HPC applications (M/1-3S)
• Audio Visual Speech Recognition (1S/1M)
• Audio Visual Speech Separation (1S/1M)
• Resource-Constrained Few-Shot Learning for Keyword Spotting (1S)
• Transformer Deployment on Heterogeneous Many-Core Systems
• Smart Meters
• Continual Learning for Adaptive EEG Monitoring in Epileptic Seizure Detection

2022

• Bandwidth Efficient NEureka
• Spatz grows wings: Physical Implementation of a Vector-Powered Manycore System (2S)
• Resource Partitioning of Caches
• Efficient Execution of Transformers in RISC-V Vector Machines with Custom HW acceleration (M)
• Modeling High Bandwidth Memory for Rapid Design Space Exploration (1-3S/B)
• Improving SystemVerilog Support for Free And Open-Source EDA Tools (1-3S/B)
• Enhancing Our DMA Engine With Virtual Memory (M/1-3S/B)
• Extending Our DMA Architecture with SiFives TileLink Protocol (1-3S/B)
• Extension and Evaluation of TinyDMA (1-2S/B/2-3G)
• Fitting Power Consumption of an IP-based HLS Approach to Real Hardware (1-3S)
• Enabling Efficient Systolic Execution on MemPool (M)
• MCU Bus and Memory Generator: implementation of a Highly Configurable bus and memory subsystem for a RISC-V based microcontroller.
• Evaluating SoA Post-Training Quantization Algorithms
• Creating a Compact Power Supply and Monitoring System for the Occamy Chip (1-3S/B/2-3G)
• A Flexible FPGA-Based Peripheral Platform Extending Linux-Capable Systems on Chip (1-3S/B)
• Developing a Transposition Unit to Accelerate ML Workloads (1-3S/B)
• Wireless EEG Acquisition and Processing
• Development of statistics and contention monitoring unit for PULP
• Implementing Configurable Dual-Core Redundancy
• Running Rust on PULP
• Optimizing the Pipeline in our Floating Point Architectures (1S)
• Design of a Prototype Chip with Interleaved Memory and Network-on-Chip
• Peripheral Event Linking System for Real-time Capable Energy Efficient SoCs
• Neural Architecture Search using Reinforcement Learning and Search Space Reduction
• Implementing DSP Instructions in Banshee (1S)
• Design of combined Ultrasound and Electromyography systems
• Designing a Power Management Unit for PULP SoCs
• Enhancing our DMA Engine with Vector Processing Capabilities (1-2S/B)
• Triple-Core PULPissimo
• Watchdog Timer for PULP
• Ultrasound signal processing acceleration with CUDA
• LightProbe - 200G Remote DMA for GPU FPGA Data Transfers

2021

• Novel Metastability Mitigation Technique
• Analog Compute-in-Memory Accelerator Interface and Integration
• Wearables in Fashion
• Outdoor Precision Object Tracking for Rockfall Experiments
• Autonomous Sensing For Trains In The IoT Era
• CLIC for the CVA6
• Online Learning of User Features (1S)
• Feature Extraction for Speech Recognition (1S)
• SCMI Support for Power Controller Subsystem
• Augmenting Our IPs with AXI Stream Extensions (M/1-2S)
• Implementing DSP Instructions in Banshee (1S)
• Streaming Integer Extensions for Snitch (M/1-2S)
• Efficient Synchronization of Manycore Systems (M/1S)
• A Unified Compute Kernel Library for Snitch (1-2S)
• PULP’s CLIC extensions for fast interrupt handling
• Implementation of a Small and Energy-Efficient RISC-V-based Vector Accelerator (1M)
• Adding Linux Support to our DMA Engine (1-2S/B)
• Next Generation Synchronization Signals
• Efficient Memory Stream Handling in RISC-V-based Systems (M/1-2S)
• Ultra low power wearable ultrasound probe
• Machine Learning for extracting Muscle features using Ultrasound 2
• Hardware Constrained Neural Architechture Search
• Implementation of an AES Hardware Processing Engine (B/S)
• Transforming MemPool into a CGRA (M)
• Ultrasound Low power WiFi with IMX7
• Ultrasound signal processing acceleration with CUDA
• Minimum Variance Beamforming for Wearable Ultrasound Probes
• Machine Learning for extracting Muscle features using Ultrasound
• Compression of Ultrasound data on FPGA
• Physical Implementation of Ara, PULP's Vector Machine (1-2S)
• Towards the Ariane Desktop: Display Output for Ariane on FPGA under Linux (S/B/G)
• Ottocore: A Minimal RISC-V Core Designed for Teaching (B/2G)
• LLVM and DaCe for Snitch (1-2S)
• Bringup and Evaluation of an Energy-efficient Heterogeneous Manycore Compute Platform (1-2S)
• An RPC DRAM Implementation for Energy-Efficient ASICs (1-2S)
• A Snitch-Based SoC on iCE40 FPGAs (1-2S/B)
• Physical Implementation of MemPool, PULP's Manycore System (1M/1-2S)
• Manycore System on FPGA (M/S/G)
• LightProbe - 200G Remote DMA for GPU FPGA Data Transfers
• Time Gain Compensation for Ultrasound Imaging

2020

• Mapping Networks on Reconfigurable Binary Engine Accelerator
• Hypervisor Extension for Ariane (M)
• Advanced 5G Repetition Combining
• Multi issue OoO Ariane Backend (M)
• Memory Augmented Neural Networks in Brain-Computer Interfaces
• Low Latency Brain-Machine Interfaces
• Investigation of the high-performance multi-threaded OoO IBM A2O Core (1-3S)
• A Flexible Peripheral System for High-Performance Systems on Chip (M)
• ISA extensions in the Snitch Processor for Signal Processing (M)
• A Snitch-based Compute Accelerator for HERO (M/1-2S)
• Deep Convolutional Autoencoder for iEEG Signals
• Exploring features and algorithms for ultra-low-power closed-loop systems for epilepsy control
• Timing Channel Mitigations for RISC-V Cores

2019

• Hardware Accelerators for Lossless Quantized Deep Neural Networks
• Floating-Point Divide & Square Root Unit for Transprecision
• TCNs vs. LSTMs for Embedded Platforms
• An Energy Efficient Brain-Computer Interface using Mr.Wolf
• Toward hyperdimensional active perception: learning compressed sensorimotor control by demonstration
• Exploring Algorithms for Early Seizure Detection
• Ternary Weights Engine For Efficient Many Channels Spike Sorting Applications
• Indoor Positioning with Bluetooth
• Improving Resiliency of Hyperdimensional Computing
• Toward Superposition of Brain-Computer Interface Models
• LightProbe - WIFI extension (PCB)

2018

• Digital Audio Interface for Smart Intensive Computing Triggering
• Shared Correlation Accelerator for an RF SoC
• IoT Turbo Decoder
• BigPULP: Shared Virtual Memory Multicluster Extensions
• Creating a HDMI Video Interface for PULP
• Interference Cancellation for EC-GSM-IoT

2017

• A computational memory unit using phase-change memory devices
• Deep Learning for Brain-Computer Interface
• Low-Energy Cluster-Coupled Vector Coprocessor for Special-Purpose PULP Acceleration
• Turbo Equalization for Cellular IoT
• Sensor Fusion for Rockfall Sensor Node
• Development of a Rockfall Sensor Node
• FPGA Optimizations of Dense Binary Hyperdimensional Computing
• Fast and Accurate Multiclass Inference for Brain–Computer Interfaces
• A Wireless Sensor Network for a Smart Building Monitor and Control
• BigPULP: Multicluster Synchronization Extensions
• Sub Noise Floor Channel Estimation for the Cellular Internet of Things
• PULPonFPGA: Lightweight Virtual Memory Support - Page Table Walker
• StoneEDGE: An EC-GSM-IoT and Evolved EDGE PHY ASIC

2016

• A Recurrent Neural Network Speech Recognition Chip
• Efficient NB-IoT Uplink Design
• Internet of Things Network Synchronizer
• Accelerator for Boosted Binary Features
• Accelerator for Spatio-Temporal Video Filtering
• Interfacing PULP with a Brain-Inspired Ultra-Low Power Spiking Cochlea
• Design and Implementation of Digital Spiking Neurons for Ultra-Low-Power In-Cluster Coprocessors
• System Analysis and VLSI Design of NB-IoT Baseband Processing
• High-speed Scene Labeling on FPGA
• Learning Image Decompression with Convolutional Networks
• FPGA System Design for Computer Vision with Convolutional Neural Networks
• PULPonFPGA: Lightweight Virtual Memory Support - Multi-Level TLB
• Implementing Hibernation on the ARM Cortex M0
• High-Throughput Hardware Implementations of Authenticated Encryption Algorithms
• Spatio-Temporal Video Filtering
• PULPonFPGA: Lightweight Virtual Memory Support - Coherency Extensions

2015

• Hardware Accelerated Derivative Pricing
• Glitches Reduce Listening Time of Your iPod
• FFT-based Convolutional Network Accelerator
• Real-Time Optical Flow Using Neural Networks
• EvaLTE: A 2G/3G/4G Cellular Transceiver FMC
• Synchronisation and Cyclic Prefix Handling For LTE Testbed
• An FPGA-Based Testbed for 3G Mobile Communications Receivers
• Reading The GSM Beacon Carrier with OsmocomBB and stoneEDGE
• Baseband Meets CPU
• Active-Set QP Solver on FPGA
• Vector Processor for In-Memory Computing
• StoneEDGE: An EC-GSM-IoT and Evolved EDGE PHY ASIC
• Hardware/software co-programming on the Parallella platform
• Design and VLSI Implementation of a Constrained-Viterbi Algorithm Equalizer for 3GPP TD-HSPA
• Time and Frequency Synchronization in LTE Cat-0 Devices
• Real-Time Stereo to Multiview Conversion

2014

• EvalEDGE: A 2G Cellular Transceiver FMC
• Real-Time Stereo to Multiview Conversion
• Design and Implementation of a Convolutional Neural Network Accelerator ASIC
• Design and Implementation of an Approximate Floating Point Unit

2013

• RazorEDGE: An Evolved EDGE DBB ASIC
• Real-Time Stereo to Multiview Conversion
• NORX - an AEAD algorithm for the CAESAR competition
• A Unified-Multiplier Based Hardware Architecture for Elliptic Curve Cryptography
• SHAre - An application Specific Instruction Set Processor for SHA-2/3
• Quantum Key Secured 100 Gbit/s Payload Encryption and its High-Speed Network Interfaces
• Feature Extraction with Binarized Descriptors: ASIC Implementation and FPGA Environment
• Real-time View Synthesis using Image Domain Warping
• Ultra-low power processor design

2012

• A Multiview Synthesis Core in 65 nm CMOS
• Real-time View Synthesis using Image Domain Warping
• High-Throughput Authenticated Encryption Architectures based on Block Ciphers

2011

• Compressed Sensing Reconstruction on FPGA
• A Multiview Synthesis Core in 65 nm CMOS
• Real-time View Synthesis using Image Domain Warping
• Putting Together What Fits Together - GrÆStl

ASICs

• RISC-V based Implementation of Secure Ranging According to IEEE 802.15.4z UWB
• Spiking Neural Network for Autonomous Navigation
• Event-Driven Convolutional Neural Network Modular Accelerator
• Level Crossing ADC For a Many Channels Neural Recording Interface
• Scalable Heterogeneous L1 Memory Interconnect for Smart Accelerator Coupling in Ultra-Low Power Multicores
• Cerebellum: Design of a Programmable Smart-Peripheral for the Ariane Core
• Resilient Brain-Inspired Hyperdimensional Computing Architectures
• Variable Bit Precision Logic for Deep Learning and Artificial Intelligence
• Single-Bit-Synapse Spiking Neural System-on-Chip