Learn More
Due to their high peak performance and energy efficiency, massively parallel accelerators such as GPUs are quickly spreading in high-performance computing, where large amounts of floating-point data are processed, transferred, and stored. Such environments can greatly benefit from data compression if done sufficiently quickly. Unfortunately, most(More)
Many scientific programs produce large amounts of floating-point data that are saved for later use. To minimize the storage requirement, it is worthwhile to compress such data as much as possible. However, existing algorithms tend to compress floating-point data relatively poorly. As a remedy, we have developed FPcrush, a tool that automatically synthesizes(More)
  • 1