Arch4Health: 3rd Workshop on Architecture for Health (held with ICS 2026) -- 6 July 2026

ICS 2026: 3rd Workshop on Architecture for Health (Arch4Health) https://events.safari.ethz.ch/ics26-a... Date and Time: July 6, from 09:00 AM (GMT) to 05:00 PM (GMT) Organizers: Nika Mansouri Ghiasi, Dr. Konstantina Koliogeorgi, and Professor Onur Mutlu Workshop Overview: A full-day workshop exploring the key computational challenges in health-related applications and the vital role of computer architecture in overcoming them to advance healthcare. Workshop Description: Opportunities. Recent biotechnological advances enable high-throughput, low-cost, and accurate biological data generation (e.g., using genome sequencing, multimodal medical imaging, continuous wearable sensing). This wealth of data enables unique opportunities for advancing healthcare. These opportunities include, but are not limited to, precision medicine, bedside personalized care, discovering early warning signs of communicable diseases, continuous physiological tracking, and enhanced diagnostic capabilities. Challenges. Despite these opportunities, efficiently analyzing large-scale biological data poses significant challenges for conventional computing systems. These systems often cannot keep up with the high-throughput rate at which data is generated, and they face additional constraints related to energy efficiency, scalability, privacy, and security. High-throughput processing is particularly crucial in clinical settings, where real-time data processing can significantly impact patient outcomes by improving both response times in time-critical scenarios as well as the decision-making processes for therapeutic schemes. Therefore, to facilitate the wide adoption of recent advances in healthcare, there is a need to optimize the computing systems to enable high-performance, energy-efficient, low-cost, private, and secure analysis of biological data. Architecture for Health. This workshop will focus on identifying key computational challenges in health-related applications and discussing how computer architects can contribute to advancing healthcare by addressing these challenges. First, we will provide invited talks and keynotes that summarize (i) a series of research in computing system designs for healthcare applications and (ii) new trends and bottlenecks in data-intensive healthcare applications. Second, we will invite researchers to submit their ongoing work on these topics. Fostering Diverse and Cross-Disciplinary Discussions. Since cross-disciplinary discussions are crucial for better identifying challenges in real-world health-related applications, we aim to foster open discussions and cooperation between researchers with diverse backgrounds (i.e., from both computer architecture and health sciences communities, industry, and academia). Recommended Readings: ==================== A Modern Primer on Processing in Memory https://people.inf.ethz.ch/omutlu/pub... Processing Data Where It Makes Sense: Enabling In-Memory Computation https://people.inf.ethz.ch/omutlu/pub... Processing-in-Memory: A Workload-Driven Perspective https://people.inf.ethz.ch/omutlu/pub... Benchmarking a New Paradigm: An Experimental Analysis of a Real Processing-in-Memory Architecture https://people.inf.ethz.ch/omutlu/pub... Benchmarking Memory-Centric Computing Systems: Analysis of Real Processing-in-Memory Hardware https://people.inf.ethz.ch/omutlu/pub... SIMDRAM: An End-to-End Framework for Bit-Serial SIMD Computing in DRAM https://people.inf.ethz.ch/omutlu/pub... DAMOV: A New Methodology and Benchmark Suite for Evaluating Data Movement Bottlenecks https://people.inf.ethz.ch/omutlu/pub... Intelligent Architectures for Intelligent Computing Systems https://people.inf.ethz.ch/omutlu/pub... RowHammer: A Retrospective https://people.inf.ethz.ch/omutlu/pub...