Analytics Added to Open Platform for Security to Enable Breakthroughs in Data Analytics Using Oracle’s Software in Silicon Technology
Redwood Shores, Calif.—Mar 8, 2016
delivered memory bandwidth: at an industry-leading 160GB/s memory
bandwidth, the SPARC M7 processor provides enough capacity to feed both
the DAX units as well as processor cores.
offload: frees the processor cores for other processing.
decompressing combined with in-memory processing: putting decompression in
the DAX unit is much faster than software implementations. Designing
decompression with scanning means needless back and forth memory transfers
are avoided. Results from the DAX are entered into the CPU cache for
better CPU efficiency.
- DAX range
comparisons: many real-world database analytics queries are written to
find data transacted between certain dates, or product cost ranges, etc.
The DAX processes range comparisons at the same rate as individual
comparisons. Other processors require additional computational time for
- Avoiding cache pollution: the DAX does much of its computation without needing to store intermediate data in a cache, freeing the CPU’s cache for other processing.