Seminars
Comparative Analysis of Local vs. Cloud Processing Approaches
Description
In today’s data-driven world, processing approaches are typically divided between cloud-based solutions—with virtually unlimited resources—and localized processing, which is constrained by hardware limitations. While the cloud offers extensive computational power, localized processing is often required for real-time applications where latency and data security are critical concerns.
To bridge this gap, various algorithms have been developed to pre-process data or extract essential information before it is sent to the cloud.
The goal of this seminar is to explore and compare these algorithms, evaluating their computational load on local hardware and their overall impact on system performance.
Contact
Zafer Attal
zafer.attal@tum.de
Supervisor:
Analysis Algorithms for Processor Traces and Instructions
Description
Modern CPUs execute a vast number of instructions while managing large volumes of data. On-chip debugging modules, located adjacent to the CPU, play a critical role in capturing valuable execution information. This data is essential for analyzing system behavior and detecting anomalies—such as timing issues or execution faults—that may occur in the processing unit.
Over time, various algorithms have been developed to analyze processor traces and instructions. These algorithms not only deepen our understanding of system behavior but also support the debugging of potential faults and anomalies.
The goal of this seminar is to explore and compare different trace analysis algorithms, and that is by evaluating their efficiency, performance, and potential applications in debugging and optimizing processor operations.
Contact
Zafer Attal
zafer.attal@tum.de