Securing the Future of Computer Science; Reconsidering Analog Computing
Mark Guzdial sees hope in computer science education efforts in the U.K. Daniel Reed suggests we should not be so quick to discard analog computing.
Daniel Reed
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Exascale Software: Just a Few Orders of Magnitude
Extraordinary parallelism, unprecedented data locality and adaptive resilience: these are daunting architecture, system software and application challenges for exascale computing.
Passwords Getting Painful, Computing Still Blissful
Jason Hong wonders how anyone can follow the mounting complexity of password rules, and Daniel Reed ponders the attractions of computing.
Daniel Reed on straddling the intellectual divide between technology experts and policymakers.
Little’s Law in the Exascale Era
When performance optimization, reliability requirements, and energy management are convolved with component costs, device physics, system software services and application characteristics, the constraint-based optimization problems become dauntingly complex. Little's Law speaks to all of these issues and more.
HPC, Big Data and the Peloponnesian War
We need a concord and strategic research investment plan that recognizes the shared importance of HPC and big data. Both warrant investments in basic research, and both need investments in large-scale infrastructure deployments. In a time of straitened budgets, this will not be easy, and it will undoubtedly require political compromise.
Online Privacy; Replicating Research Results
Daniel Reed offers three ideas about the future of personal online information management. Ed H. Chi writes about replication of experiments and how experiments are often the beginning, rather than the end, of a scientific inquiry.
Research {Preposition} Infrastructure
Computing research and advanced computing infrastructure–each is dependent on the other in a myriad of subtle and complex ways, yet each is profoundly different in culture, process, skills and metrics. As the scale, scope and influence of computing grow ever larger, each needs to understand the constraints and needs of the other.
The higher education community is abuzz with debates regarding massive open online courses (MOOCs). This feels like a time of profound change, when the confluence of technologies, social expectations and economic pressures will reshape elements of our university structures.
My Scientific Big Data Are Lonely
Although there are daunting technical challenges posed by big data in science and engineering, the social and economic challenges are just as difficult, though much less often discussed. Two issues merit special attention, the culture of sharing, within and across disciplines, and the economics of research data sustainability.
Shape the Future of Computing
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