Karin Strauss

TL;DR: An overview of the BlueGene/L Supercomputer, a massively parallel system of 65,536 nodes based on a new architecture that exploits system-on-a-chip technology to deliver target peak processing power of 360 teraFLOPS (trillion floating-point operations per second).

TL;DR: A large library of primers are designed and validated that enable individual recovery of all files stored within the DNA, and an algorithm is developed that greatly reduces the sequencing read coverage required for error-free decoding by maximizing information from all sequence reads.

TL;DR: Hardware specialization in the form of GPGPUs, FPGAs, and ASICs offers a promising path towards major leaps in processing capability while achieving high energy efficiency, and combining multiple FPGA over a low-latency communication fabric offers further opportunity to train and evaluate models of unprecedented size and quality.

TL;DR: Error-Correcting Pointers (ECP), a new approach to error correction optimized for memories in which errors are the result of permanent cell failures that occur, and are immediately detectable, at write time, provides longer lifetimes than previously proposed solutions with equivalent overhead.

TL;DR: An architecture for a DNA-based archival storage system is presented, structured as a key-value store, and leverages common biochemical techniques to provide random access, and a new encoding scheme is proposed that offers controllable redundancy, trading off reliability for density.