The hidden infrastructure that powers genomic sequencing
How TGen is using NVIDIA and Dell EMC PowerScale
Get an Alert
when The Register has something new about ...
Check the boxes & select Email or Atom/RSS Feed.
Genomics can now use its groundbreaking insights into complex diseases and employ them into patient treatments. But every diagnosis means the computing equivalent of assembling a 3-billion-piece jigsaw puzzle. It's a job that until recently would take weeks, and now can be done in a few hours.
For two decades TGen, a nonprofit medical research institute, has been using high-performance computing to conduct groundbreaking research that is already having life-changing results. But the next generation of AI-driven genomic medicine will require exponentially more data, and the speed with which it can be analysed will literally be a matter of life or death for patients. James Lowery, CIO of TGen, George Vacek of NVIDIA, and Ken Berta of Dell tell The Reg's Tim Phillips how they are building the hidden infrastructure (with Clara Parabricks, accelerated compute, and scale-out PowerScale storage) for TGen's HPC applications.
You will hear:
The scale of TGen's challenge today, and in the future
Designing and implementing high-performance storage for TGen's HPC solution