IBM

About: IBM is a company organization based out in Armonk, New York, United States. It is known for research contribution in the topics: Layer (electronics) & Signal. The organization has 134567 authors who have published 253905 publications receiving 7458795 citations. The organization is also known as: International Business Machines Corporation & Big Blue.

A logic design structure for LSI testability

Abstract: The ability to put hundreds of logic gates on a single chip of silicon offers great potential for reducing power, increasing speed, and reducing cost. Unfortunately, several problems must be solved in order to exploit these advantages of large-scale integration, LSI. This paper will describe a logic design method that will greatly simplify problems in testing, diagnostics, and field service for LSI. The design method is based on two concepts that are nearly independent but combine efficiently and effectively. The first is to design sequential logic structures so that correct operation is not dependent on signal rise and fall time or on circuit or wire delay. The second is to design all the internal storage elements (other than memory arrays) so that they can also be operated as shift registers to facilitate testing and diagnostics. Sequential logic, which is difficult to test, can then be transformed to combinational logic, which is less difficult. The transformation is performed during test generation. Advantages and cost impact will also be discussed qualitatively.

CMOS scaling into the nanometer regime

Abstract: Starting with a brief review on 0.1-/spl mu/m (100 nm) CMOS status, this paper addresses the key challenges in further scaling of CMOS technology into the nanometer (sub-100 nm) regime in light of fundamental physical effects and practical considerations. Among the issues discussed are: lithography, power supply and threshold voltage, short-channel effect, gate oxide, high-field effects, dopant number fluctuations and interconnect delays. The last part of the paper discusses several alternative or unconventional device structures, including silicon-on-insulator (SOI), SiGe MOSFET's, low-temperature CMOS, and double-gate MOSFET's, which may lead to the outermost limits of silicon scaling.

SLIQ: A Fast Scalable Classifier for Data Mining

Abstract: Classification is an important problem in the emerging field of data mining Although classification has been studied extensively in the past, most of the classification algorithms are designed only for memory-resident data, thus limiting their suitability for data mining large data sets This paper discusses issues in building a scalable classifier and presents the design of SLIQ, a new classifier SLIQ is a decision tree classifier that can handle both numeric and categorical attributes It uses a novel pre-sorting technique in the tree-growth phase This sorting procedure is integrated with a breadth-first tree growing strategy to enable classification of disk-resident datasets SLIQ also uses a new tree-pruning algorithm that is inexpensive, and results in compact and accurate trees The combination of these techniques enables SLIQ to scale for large data sets and classify data sets irrespective of the number of classes, attributes, and examples (records), thus making it an attractive tool for data mining

Scanning tunneling microscopy-from birth to adolescence

Abstract: We present here the historic development of Scanning Tunneling Microscopy (STM); the physical and technical aspects have already been covered in a few recent reviews and two conference proceedings' and many others are expected to follow in the near future. A technical summary is given by the sequence of figures, which stands alone. Our narrative is by no means a recommendation of how research should be done; it simply reflects what we thought, how we acted, and what we felt. However, it would certainly be gratifying if it encouraged a more relaxed attitude towards doing science. Perhaps we were fortunate in having common training in superconductivity, a field which radiates beauty and elegance. For scanning tunneling microscopy, we brought along some experience in tunneling (Binnig and Hoenig, 1978) and angstroms (Rohrer, 1960), but none in microscopy or surface science. This probably gave us the courage and lightheartedness to start something which should "not have worked in principle, " as we were so often told. "After havn on another occasion, I had been involved for a short time with tunneling between very small metallic grains in bistable resistors, and later I matched my colleagues struggle with tolerance problems in the fabrication of Josephson junctions. So the local study of growth and electrical properties of thin insulating layers appeared to me an interesting problem, and I was given the opportunity to hire a new research staff member, Gerd Binnig, who found it interesting, too, and accepted the offer. Incidentally, Gerd and I would have missed each other, had it not been for K. Alex Muller,

Power and performance management of virtualized computing environments via lookahead control

Abstract: There is growing incentive to reduce the power consumed by large-scale data centers that host online services such as banking, retail commerce, and gaming. Virtualization is a promising approach to consolidating multiple online services onto a smaller number of computing resources. A virtualized server environment allows computing resources to be shared among multiple performance-isolated platforms called virtual machines. By dynamically provisioning virtual machines, consolidating the workload, and turning servers on and off as needed, data center operators can maintain the desired quality-of-service (QoS) while achieving higher server utilization and energy efficiency. We implement and validate a dynamic resource provisioning framework for virtualized server environments wherein the provisioning problem is posed as one of sequential optimization under uncertainty and solved using a lookahead control scheme. The proposed approach accounts for the switching costs incurred while provisioning virtual machines and explicitly encodes the corresponding risk in the optimization problem. Experiments using the Trade6 enterprise application show that a server cluster managed by the controller conserves, on average, 22% of the power required by a system without dynamic control while still maintaining QoS goals. Finally, we use trace-based simulations to analyze controller performance on server clusters larger than our testbed, and show how concepts from approximation theory can be used to further reduce the computational burden of controlling large systems.