However, software compression adds substantial overheads, and prior hardware compression techniques work poorly on the complex access patterns of irregular applications.We present SpZip, an ...

Attendees will receive tips on choosing the best compression method for specific applications, and will see the benefits of hardware acceleration over software execution with examples from CAST’s ...

Optimizing data compression methods has become more critical than ever for cloud storage, data management, and streaming applications. Working with compressed data reduces network bandwidth, data ...

People store large quantities of data in their electronic devices and transfer some of this data to others, whether for professional or personal reasons. Data compression methods are thus of the ...

Lossy data compression is used in applications where an acceptable amount of data loss is allowed in the compression algorithm. We see lossy data compression predominantly in the areas of imagery, ...

Their applications in image compression allow for efficient dimensionality reduction, maintaining the essential visual characteristics of images while significantly reducing file sizes.

A novel technique rethinks hardware data compression to free up more memory used by computers and mobile devices, allowing them to run faster and perform more tasks simultaneously.

Video Technology Provider Focused on the Growing Global Demand for High Performance Video Data Transmission and Storage. • Optimized for Defense to AI and Enterprise Applications. • Military ...

Facebook’s app developers already employ a bunch of data compression techniques, but the company said these methods cannot keep up with the rate at which it adds new features and updates.

In a video transcoding application, Samsung measured an 80% boost in performance by breaking up processing between the CPU and FPGA on the SmartSSD, and that reduced server CPU utilization from 93% to ...

Compression is the science of making data representations smaller, in order to decrease the data's bandwidth and storage requirements. Compression applications are everywhere: in computers (WinZip and ...