Bottom-Up Enterprise Information Systems: Rethinking the Roles of Central It Departments
Central IT needs to guide functional areas and departments toward effective operational and procurement practices.
Research and Advances
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Exponential Laws of Computing Growth
Moore's Law is one small component in an exponentially growing planetary computing ecosystem.
Eulerian Video Magnification and Analysis
We present Eulerian Video Magnification, a computational technique for visualizing subtle color and motion variations in ordinary videos by making the variations larger.
Technical Perspective: Mapping the Universe
"HACC: Extreme Scaling and Performance Across Diverse Architectures" describes the Hardware/Hybrid Accelerated Cosmology Code (HACC) framework, which uses a novel algorithmic structure to map code onto multiple supercomputer platforms, whether heterogeneous CPU/GPU or multi/many-core systems.
Technical Perspective: Magnifying Motions the Right Way
"Eulerian Video Magnification and Analysis" demonstrates that phase differences at a given frequency band, due to subtle motions in a video, can be independently amplified and added back into the original signal.
HACC: Extreme Scaling and Performance Across Diverse Architectures
In this Research Highlight, we demonstrate the success of HACC on two very different machines, the CPU/GPU system Titan and the BG/Q systems Sequoia and Mira, attaining very high levels of scalable performance.
Cell-Graphs: Image-Driven Modeling of Structure-Function Relationship
Cell-graph construction methods are best served when physics-driven and data-driven paradigms are joined.
Creating Connection with Autonomous Facial Animation
Biologically based computational modeling promises virtual characters capable of face-to-face human interaction.
Interactive Visualization of 3D Scanned Mummies at Public Venues
A full-body virtual autopsy of an ancient Egyptian mummy showed visitors he was likely murdered.
Mathematical Foundations For Social Computing
Social computing benefits from mathematical foundations, but research has barely scratched the surface.
Anticipating Policy and Social Implications of Named Data Networking
Considering the social impact of a proposed future Internet architecture.
Technical Perspective: 3D Image Editing Made Easy
The authors of "Extracting 3D Objects from Photographs Using 3-Sweep" present an important step toward achieving 3D editing.
In this paper, we present a new hardware-software system, called Software Defined Battery, which allows system designers to integrate batteries of different chemistries.
Technical Perspective: The Chemistry of Software-Defined Batteries
A time-tested principle in computer systems design is to use an interface to separate an abstraction from its implementation. "Software-Defined Batteries" represents a convergence of these two evolutionary threads.
Extracting 3D Objects from Photographs Using 3-Sweep
We introduce an interactive technique to extract and manipulate simple 3D shapes in a single photograph.
Takeo Kanede, recipient of the 2016 Kyoto prize for advanced technology for pioneering contributions to computer vision and robotics, sees respect as an important part of quality of life technology initiatives.
Pushing on String: The 'Don't Care' Region of Password Strength
Enterprises that impose stringent password-composition policies appear to suffer the same fate as those that do not.
Apache Spark: A Unified Engine For Big Data Processing
This open source computing framework unifies streaming, batch, and interactive big data workloads to unlock new applications.
Actors linked to central others in networks are generally central, even as actors linked to powerful others are powerless.
Technical Perspective: FPGA Compute Acceleration Is First About Energy Efficiency
"A Reconfigurable Fabric for Accelerating Large-Scale Datacenter Services" presents a research deployment of Field Programmable Gate Arrays (FPGAs) in a Microsoft Bing datacenter.
Diannao Family: Energy-Efficient Hardware Accelerators For Machine Learning
We introduce a series of hardware accelerators (i.e., the DianNao family) designed for Machine Learning (especially neural networks), with a special emphasis on the impact of memory on accelerator design, performance, and energy.
A Reconfigurable Fabric For Accelerating Large-Scale Datacenter Services
We describe a medium-scale deployment of a composable, reconfigurable hardware fabric on a bed of 1,632 servers, and measure its effectiveness in accelerating the ranking component of the Bing web search engine.
Technical Perspective: If I Could Only Design One Circuit . . .
"DianNao Family: Energy-Efficient Hardware Accelerators for Machine Learning" shows a deep understanding of both neural net implementations and the issues in computer architecture that arise when building an accelerator for them.
Sex as an Algorithm: The Theory of Evolution Under the Lens of Computation
Looking at the mysteries of evolution from a computer science point of view yields some unexpected insights.
Shape the Future of Computing
ACM encourages its members to take a direct hand in shaping the future of the association. There are more ways than ever to get involved.
Get InvolvedCommunications of the ACM (CACM) is now a fully Open Access publication.
By opening CACM to the world, we hope to increase engagement among the broader computer science community and encourage non-members to discover the rich resources ACM has to offer.
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