Search for dissertations about: "Computer art"

Showing result 1 - 5 of 473 swedish dissertations containing the words Computer art.

2. 1. Explainable and Resource-Efficient Stream Processing Through Provenance and Scheduling

   Author : Dimitrios Palyvos-Giannas; Chalmers tekniska högskola; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Data Streaming; Scheduling; Provenance; Stream Processing;

   Abstract : In our era of big data, information is captured at unprecedented volumes and velocities, with technologies such as Cyber-Physical Systems making quick decisions based on the processing of streaming, unbounded datasets. In such scenarios, it can be beneficial to process the data in an online manner, using the stream processing paradigm implemented by Stream Processing Engines (SPEs). READ MORE

4. 2. High Performance Hybrid Memory Systems with 3D-stacked DRAM

   Author : Evangelos Vasilakis; Chalmers tekniska högskola; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Hybrid memory systems; DRAM caches; Data migration; 3D-stacked DRAM;

   Abstract : The bandwidth of traditional DRAM is pin limited and so does not scale well with the increasing demand of data intensive workloads limiting performance. 3D-stacked DRAM can alleviate this problem providing substantially higher bandwidth to a processor chip. READ MORE

5. 3. Clustering in the Big Data Era: methods for efficient approximation, distribution, and parallelization

   Author : Amir Keramatian; Chalmers tekniska högskola; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Clustering; Approximation-based synopsis; Distributed and Parallel Processing; Applied ML;

   Abstract : Data clustering is an unsupervised machine learning task whose objective is to group together similar items. As a versatile data mining tool, data clustering has numerous applications, such as object detection and localization using data from 3D laser-based sensors, finding popular routes using geolocation data, and finding similar patterns of electricity consumption using smart meters. READ MORE

6. 4. Functional EDSLs for Web Applications

   Author : Anton Ekblad; Chalmers tekniska högskola; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; functional programming; domain-specific programming languages; distributed systems; web applications; tierless programming languages;

   Abstract : This thesis aims to make the development of complex web applications easier, faster and safer through the application of strongly typed functional programming techniques. Traditional web applications are commonly written in the de facto standard language of the web, JavaScript, which, being untyped, provides no guarantees regarding the data processed by programs, increasing the burden of testing and defensive programming. READ MORE

7. 5. Adaptive Resource Management Techniques for High Performance Multi-Core Architectures

   Author : Nadja Holtryd; Chalmers tekniska högskola; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Cache Partitioning; Bandwidth Partitioning; Resource Management; Performance Isolation; Multi-Core Architectures; Prefetch Throttling;

   Abstract : Reducing the average memory access time is crucial for improving the performance of applications executing on multi-core architectures. With workload consolidation this becomes increasingly challenging due to shared resource contention. Previous works has proposed techniques for partitioning of shared resources (e.g. READ MORE