MultiTune: Dynamic budget allocation for hyperparameter tuning

Hyperparameter optimization(HPO) forms a critical aspect for machine learning applications to attain superior performance. BOHB (Bayesian Optimization and HyperBand) is a state of the art HPO algorithm that approaches HPO in a multi-armed bandit strategy, augmented with Bayesian optimization to drive configuration sampling. However, BOHB...

Dynamix on the Frame VM: Declarative dynamic semantics on a VM using scopes as frames

Over the years virtual machines (VMs) have been created to abstract over computer hardware. This simplified code generation and allowed for easy portability between hardware platforms. These VMs are however highly tailored to a particular runtime model. This improves the execution speed, but places restrictions on the types of languages that the...

Medical Concept Normalization in User-Generated Text

Online social networks have revolutionized the way people interact with each other nowadays. Users often share their experiences in various health - related topics like disease symptoms, drug treatments and other medical related issues in order to discuss with other patients dealing with similar conditions. During the production of a new drug,...

Automated FPGA Hardware Synthesis for High-Throughput Big Data Filtering and Transformation: An SQL query transpiler targeting Vivado HLS C++ tools for high-level stream transformation and filtering on FPGAs using Apache Arrow.

Despite its advantages in performance and control, hardware design is mainly bottlenecked by high design complexity and long development time. This thesis explores the use of domain specific languages for high-level synthesis (HLS) of hardware data filters and transformations.<br/>The main goal of this thesis’ prototype is automating the...

Applicability Study of Artificial Intelligence to Forecast New Infrastructure Project Introduction Based on The Decision-Making Duration by The Government: Case Study: Public Road Infrastructure in the Netherlands

This research aims to provide an insight about the applicability of Artificial Intelligence (AI) in making a forecast about decision-making duration of a new infrastructure project by the government during infrastructure planning procedure prior to the market introduction. The decision-making duration in this research is the duration which the...

Data analysis application for the ORCHID

The Organic Rankine Cycle Hybrid Integrated Device (ORCHID) is a small scale power plant that is used to study the fundamental gas dynamic behavior of dense organic fluids, as well as the behavior of turbomachinery. In order to draw accurate conclusions about the raw sensor data generated by the ORCHID one has to know when the system is in...

Workload Characterization and Modeling, and the Design and Evaluation of Cache Policies for Big Data Storage Workloads in the Cloud

The proliferation of big-data processing platforms has already led to radically different system designs, such as MapReduce and the newer Spark. Understanding the workloads of such systems enables tuning and could foster new designs. However, whereas MapReduce workloads have been characterized extensively, relatively little public knowledge...

Communicating with low latency peers: Building a low latency overlay in P2P networks

In decentralized applications requirements on latency are high. For instance, in trading<br/>applications a millisecond latency advantage can save companies millions of dollars. In<br/>this thesis a design is proposed for an overlay in a decentralized peer-to-peer system<br/>that lowers the latency between connected peers. The overlay is...

Peer Discovery With Transitive Trust in Distributed System

It is a common case that resources belong to different people who are distributed across the world. So, for making good use of resources, people have to cooperate with each other. Cooperation is important not only in the physical world but also in cyberspace. Computers holding different resources also need to cooperate with others. The problems...