Sökning: "Lossy Compression"
Visar resultat 1 - 5 av 11 avhandlingar innehållade orden Lossy Compression.
1. Reducing Memory Traffic with Approximate Compression
Sammanfattning : Memory bandwidth is a critical resource in modern systems and has an increasing demand. The large number of on-chip cores and specialized accelerators improves the potential processing throughput but also calls for higher data rates. In addition, new emerging data-intensive applications further increase memory traffic. LÄS MER
2. Lossy and Lossless Compression Techniques to Improve the Utilization of Memory Bandwidth and Capacity
Sammanfattning : Main memory is a critical resource in modern computer systems and is in increasing demand. An increasing number of on-chip cores and specialized accelerators improves the potential processing throughput but also calls for higher data rates and greater memory capacity. LÄS MER
3. Approximation and Compression Techniques to Enhance Performance of Graphics Processing Units
Sammanfattning : A key challenge in modern computing systems is to access data fast enough to fully utilize the computing elements in the chip. In Graphics Processing Units (GPUs), the performance is often constrained by register file size, memory bandwidth, and the capacity of the main memory. LÄS MER
4. 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
5. Compression-based Data Identification and Representation Learning
Sammanfattning : Large-scale data generation, acquisition, and processing are happening at everymoment in our society. This thesis explores the opportunities for applying lossycompression methods and concepts for improving information engineering techniquesthat transform a large amount of collected data into useful applications. LÄS MER