Sökning: "fpga chalmers"
Visar resultat 1 - 5 av 12 avhandlingar innehållade orden fpga chalmers.
1. Streaming Aggregation using Reconfigurable Hardware
Sammanfattning : High throughput and low latency streaming aggregation is essential for many applications that analyze massive volumes of data in real-time. In many cases, high speed stream aggregation can be achieved incrementally by computing partial results for multiple windows. LÄS MER
2. Multi-LSTM Acceleration and CNN Fault Tolerance
Sammanfattning : This thesis addresses the following two problems related to the field of Machine Learning: the acceleration of multiple Long Short Term Memory (LSTM) models on FPGAs and the fault tolerance of compressed Convolutional Neural Networks (CNN). LSTMs represent an effective solution to capture long-term dependencies in sequential data, like sentences in Natural Language Processing applications, video frames in Scene Labeling tasks or temporal series in Time Series Forecasting. LÄS MER
3. Multi-Gigabit Radio System Demonstrators for Next Generation Mobile Networks
Sammanfattning : Driven by the exponential growth in mobile broadband subscriptions and mobile data traffic, transport capacity of mobile networks has to be enhanced accordingly, including wireless backhaul and the emerging fronthaul networks. Utilizing wide bandwidth is the most straightforward way to capacity upgrade. LÄS MER
4. High Datarate Solutions for Next Generation Wireless Communication
Sammanfattning : Next generation wireless communication systems are essential components in order to increase the capacity of existing digital networks. Channel bandwidth as wide as several gigahertz is generally available at millimeter wave frequencies. LÄS MER
5. Reconfigurable-Hardware Accelerated Stream Aggregation
Sammanfattning : High throughput and low latency stream aggregation is essential for many applications that analyze massive volumes of data in real-time. Incoming data need to be stored in a single sliding-window before processing, in cases where incremental aggregations are wasteful or not possible at all. LÄS MER