جست‌وجوی استاد و پژوهشگر

• Computer Architecture
• Memory Systems
• Reconfigurable Computing
• +۶ مورد دیگر

Ronald Dreslinski is a Professor in the Department of Computer Science and Engineering at the University of Michigan, College of Engineering. His work focuses on computer architecture, memory systems, and reconfigurable computing, with applications in machine learning, wireless communication, and autonomous systems. Research spans hybrid memory systems, fault-tolerant networks, and low-power processors Key technologies include PIM (Processing-in-Memory), systolic arrays, and Galois field accelerators His publications highlight trends in adapting reconfigurable architectures for sparse data, optimizing wireless communication decoders, and integrating neural networks with traditional circuit design. He mentors PhD students through weekly 1-on-1 meetings, project-specific sessions, and group presentations. The department emphasizes broadening participation in computing and student support through community initiatives.

• High Performance Computing
• Computer Architecture
• Hardware-Software Co-design
• +۳ مورد دیگر

Shuaiwen Song is a SOAR Associate Professor (tenured) at the School of Computer Science , University of Sydney, and directs the Future System Architecture (FSA) Lab . He holds affiliated professor positions at the University of Washington's Electrical Engineering department and serves as a Visiting Professor at Microsoft. Key research areas: High Performance Computing (HPC), Hardware-Software Co-design, Emerging Architectures (heterogeneous, quantum), and System ML Current projects: Large-Scale Sparse Model Design (Google), Tiered Memory Systems (Google), Compiler Optimizations for Heterogeneous Computing (Microsoft/Alibaba), Planet-Scale XR Systems (Meta), Quantum System Architecture (Australian Research Council) His work bridges system software and hardware, focusing on holistic design for complex many-accelerator systems and futuristic architectures like VR/AR and quantum accelerators. Recent publications highlight advancements in temporal graph processing, VR rendering, and ReRAM-based CNN training. He has received prestigious awards including IEEE Mid-Career Award for Scalable Computing , Alibaba AIR Faculty Award , and Australia's Most Innovative Engineers recognition.

Jonathan Cookمشاهده پروفایل

استاد

• Software Process
• Reliable Component-Based Systems
• Software Engineering Environments
• +۵ مورد دیگر

Jonathan Cook is a Professor in the Department of Computer Science at New Mexico State University (NMSU). He specializes in software process improvement, reliable component-based systems, and high-performance computing (HPC) performance analysis. His work includes developing tools and methodologies for monitoring HPC applications, optimizing memory systems, and validating proxy applications against real-world software. Education: Cook holds a Ph.D. in Computer Science from the University of Colorado at Boulder (1996), an M.S. in Computer Engineering from Case Western Reserve University (1991), and a B.S. in Computer Engineering from the same institution (1988). Research Interests: His expertise spans HPC performance analysis, runtime monitoring systems, compiler optimization, and software engineering environments. He focuses on improving the reliability and efficiency of large software systems through empirical methods and tool development. Recent Work Trends: His articles emphasize HPC monitoring (e.g., heartbeat data analysis, proxy application validation), novel memory architectures (scratchpad memory, 3D PIM NoCs), and compiler-driven performance optimization. His work bridges theoretical models with practical deployment in production environments. Grants and Advising: While specific grants or student advisees are not listed, his research actively involves experimental validation through collaborative projects with institutions like the Exascale Computing Project (ECP). Labs/Teams: His contributions align with NMSU’s broader efforts in HPC and software engineering, though no specific lab names are mentioned in the provided text.