David Cohen

HPC engineers benefit from the growth of compute options by applying the right compute to the right job. Compute-intensive analytic workloads often string together CPUs, GPUs, FPGAs, and purpose-built silicon, each handling a different stage of a larger compute pipeline.

As just described by Ahmad Byagowi of Facebook, Time Card brings highly accurate and scalable time sync to Facebook's global infrastructure. But Facebook open-sourced Time Card on the premise that other industries could benefit.

For decades, the finance industry has excelled at applying the latest computing advances to time series data analysis. The technical challenges to be mastered include capturing realtime data, serving it up as query responses or as datastreams, running increasingly advanced analytics on it, and providing a variety of users with displays and APIs that facilitate insight.

Innovations like NVMe over fabrics, storage class memory, and the software to leverage them have promised radical shifts in throughput/latency/cost tradeoff curves. These technologies have now been in the market long enough to undergo considerable tire kicking, proofs of concept, and initial implementations.

Ever-increasing demands from the business, the growth of new AI workloads, and the increasing pull of public clouds call for faster and more flexible ways to get data where it’s needed in computations. Fortunately, the vendor community is competing and collaborating to solve these problems.

In this talk, we discuss the use of the open source MySQL Community Edition and Percona Server projects and Intel's Cascade Lake server platform as the primary building blocks for hosting a Database-as-a-Service (DBaaS) deployment. Data demonstrating the advantage of this configuration will be...

Near the end of 2018, Amazon announced they would be completely off Oracle by the end of 2019; replacing Oracle's database products with their own AWS-based services. Interestingly, Amazon's move to run entirely on its own, internally-operated data services is consistent with a "desire" voiced...