GenoSpace Boosts Population Analytics and Application PerformanceIntel
Equipment & Machinery
|[Product Improvement - Scalability]|
ntel® AES-NI had less impact on the application’s overall performance. GenoSpace concluded that with Intel® AES-NI, encryption can scale more efficiently than other operations, such as data serialization, sorting, and filtering.
Provider library choice significantly impacts results. The choice of encryption provider library and AES mode had the largest impact on performance. While Bouncy Castle showed no appreciable improvement with respect to Intel® AES-NI, the NSS library with Intel® AES-NI enabled performed more than 78% faster than Bouncy Castle and is the obvious choice for encryption. For decryption, NSS was approximately 96% faster than Bouncy Castle and 90% faster than SunJCE.
The benefits of Intel® AES-NI increase with the size of data sets. In Phase 2 of the study, where sample genomic data was used, GenoSpace found that enabling Intel® AES-NI improves request times by nearly 9%. In fact as the size of the data sets scales up, there are even greater performance gains—an almost 14% improvement.