Ilya Kulyatin’s Post

The complexity and volume of biological data are growing faster than traditional computing architectures can handle. In this talk, Syrine Ben Driss examines how next-generation compute and storage solutions can bridge that gap, enabling real-time analysis of genomics, proteomics, and other bioinformatics datasets. 19 Nov, Kayabacho, Tokyo, 18:00 - 21:00 Topic: How In-Memory Processing Accelerates Bioinformatics Register: https://luma.com/9sctmrbp You’ll gain insight into the limitations of conventional von Neumann architectures and how in-memory processing reduces bottlenecks, improves scalability, and accelerates data-intensive workflows. Practical examples will show how these approaches can transform scientific research and healthcare, making high-speed, high-accuracy biological insights feasible at scale. Co-organized with Apurv Saha. Thanks to Antler Japan for hosting us!