Abstract
Power consumption is a critical design factor in modern mobile chip design, in which the memory system with dynamic random-access memory (DRAM) consumes more than half of the entire system’s power. Without DRAM bandwidth compression, extreme multimedia operations such as 8K high dynamic range (HDR) recording and 8K video conference calling are not possible without sacrificing image quality or trimming because of thermal limitations or battery time sustainability constraints. Since heterogeneous processors are substantially involved in managing various types of fallbacks or software solutions, complicated compression algorithms for high-compression ratios are not actually adaptable owing to timing closure problems or high throughput requirements. In this paper, we propose evaluation metrics to assess lossless embedded compression (LEC) algorithms to reflect realistic design considerations for mobile multimedia scenarios. Furthermore, we introduce an optimized LEC implementation for contemporary multimedia applications in mobile devices based on the proposed metrics. The proposed LEC implementation enhances the compression ratio of LEC algorithms in other commercial application processors for contemporary premium smartphones by up to 9.2% on average, while maintaining the same timing closure condition.
Highlights
As computing power has increased dramatically and the degree of integration has improved significantly owing to the development of nanoscale semiconductor processes in recent decades, the requirements in mobile devices are constantly evolving to satisfy the user experience
We propose realistic metrics to assess lossless embedded compression (LEC) performance that help to evaluate what is needed in the design of cutting-edge high-performance mobile devices
According to our frequency, arewhen the the main factors toalgorithm consider.is we defineHowever, four main metrics used to survey, researchers have not realized that the processors should understand the compression algorithm evaluate the performance of an LEC
Summary
As computing power has increased dramatically and the degree of integration has improved significantly owing to the development of nanoscale semiconductor processes in recent decades, the requirements in mobile devices are constantly evolving to satisfy the user experience. In high-end mobile devices, the camera and display subsystems, as well as video codecs, are usually integrated into the same die and compete to occupy more memory bandwidth They all operate in association with other subsystems even in extreme cases of 8K HDR recordings and 8K video conference calls via LTE (Long-Term Evolution) or 5G networks, and a given application task will be distributed in a heterogeneous computing environment to achieve minimum execution time. In this situation, it is essential to use a unified bandwidth compression that all the necessary system components, including processors, can decompress. We implement an optimized LEC for high-end mobile multimedia based on the metrics, which is used for video codec, but for the entire multimedia scenario in modern mobile devices
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