Accelerating Genomics Data Processing with Persistent Memory and Big Memory Software
Accelerating Genomics Data Processing with Persistent Memory and Big Memory Software
8 PagesThe Translational Genomics Research Institute (TGen) boosted single-cell RNA-seq performance by 36% and cut SplAdder analysis time by ~79%—from two months to 13 days—using phoenixNAP’s HaaS platform with 2nd Gen Intel Xeon Scalable processors, Intel Optane Persistent Memory, and MemVerge Memory Machine software. This setup virtualized DRAM and persistent memory for cost-effective scaling, near-DRAM speeds, and fault-tolerant processing. The solution enabled TGen to process vast, fast-growing genomic datasets efficiently, reducing costs while accelerating research outcomes.
