Post-Silicon validation of a designed ASIC is an essential step in the product development process. During the validation process, all specifications of the ASICs have to be controlled in a lab environment. Serializer/Deserialiser(SerDes) blocks in an ASIC are used to perform high-speed serial data communication between distinct integrated circuits. The goal of the thesis is to validate the power consumption of SerDes IP blocks provided by different vendors in an ASIC. To validate power consumption, current and voltage values are read from power supply lines. Then these values are digitized and stored on a Raspberry Pi. To perform these operations, the initial firmware provided by vendors is improved to control SerDes operations, and software is developed to control the Raspberry Pi. Power measured operation is performed for every possible data rate for each SerDes modules. Power measurement is also performed for different temperature range in industry standards with the highest possible data rate for each SerDes IP block. As a final step, measured power consumption values are compared to vendors’ data. / Validering av en designad ASIC efter kisel är ett viktigt steg i produktutvecklingsprocessen. Under valideringsprocessen måste alla specifikationer för ASIC kontrolleras i en laboratoriemiljö. Serializer / Deserialiser (SerDes) -block i en ASIC används för att utföra höghastighets seriell datakommunikation mellan distinkta integrerade kretsar. Målet med avhandlingen är att validera strömförbrukningen för SerDes IP-block som tillhandahålls av olika leverantörer i en ASIC. För att validera strömförbrukningen läses strömoch spänningsvärden från strömförsörjningsledningarna. Sedan digitaliseras dessa värden och lagras på en Raspberry Pi. För att utföra dessa operationer förbättras den inledande firmware som tillhandahålls av leverantörer för att styra SerDesoperationer och programvara utvecklas för att styra Raspberry Pi. Effektmätt operation utförs för varje möjlig datahastighet för varje SerDes-modul. Mätoperationer utförs också för olika temperaturintervall i branschstandarder med högsta möjliga datahastighet för varje SerDes IP-block. Som ett sista steg jämförs uppmätta energiförbrukningsvärden med leverantörens data.

<p>GRAIL is a Java library for capturing and manipulating graphs. It is used in the VizzAnalyzer reengineering tool developed at Växjö University that allows quality analysis of software systems.</p><p>GXL is a standard exchange format for software data in graph structure, mainly used within the field of software reengineering that is widely supported in other tools within the same field. It is important for VizzAnalyzer to support GXL as an exchange format to allow collaboration with other tools on this basis.</p><p>As the goal of this thesis, a GXL graph serializer/deserialize architecture for GRAIL has been developed that allows data exchange between VizzAnalyzer and other tools that support the GXL format.</p><p>VizzAnalyzer is capable of analyzing large software systems and therefore the task required special attention on high performance and low memory footprint even with large GXL graph structures.</p>

GRAIL is a Java library for capturing and manipulating graphs. It is used in the VizzAnalyzer reengineering tool developed at Växjö University that allows quality analysis of software systems. GXL is a standard exchange format for software data in graph structure, mainly used within the field of software reengineering that is widely supported in other tools within the same field. It is important for VizzAnalyzer to support GXL as an exchange format to allow collaboration with other tools on this basis. As the goal of this thesis, a GXL graph serializer/deserialize architecture for GRAIL has been developed that allows data exchange between VizzAnalyzer and other tools that support the GXL format. VizzAnalyzer is capable of analyzing large software systems and therefore the task required special attention on high performance and low memory footprint even with large GXL graph structures.