Variational Approach to Gaussian Approximate Coherent States: Quantum Mechanics and Minisuperspace Field Theory

This paper has a dual purpose. One aim is to study the evolution of coherent states in ordinary quantum mechanics. This is done by means of a Hamiltonian approach to the evolution of the parameters that define the state. The stability of the solutions is studied. The second aim is to apply these techniques to the study of the stability of minisuperspace solutions in field theory. For a $\lambda \varphi^4$ theory we show, both by means of perturbation theory and rigorously by means of theorems of the K.A.M. type, that the homogeneous minisuperspace sector is indeed stable for positive values of the parameters that define the field theory.Comment: 26 pages, Plain TeX, no figure

Ebookness

Since the mid-2000s, the ebook has stabilized into an ontologically distinct form, separate from PDFs and other representations of the book on the screen. The current article delineates the ebook from other emerging digital genres with recourse to the methodologies of platform studies and book history. The ebook is modelled as three concentric circles representing its technological, textual and service infrastructure innovations. This analysis reveals two distinct properties of the ebook: a simulation of the services of the book trade and an emphasis on user textual manipulation. The proposed model is tested with reference to comparative studies of several ebooks published since 2007 and defended against common claims of ebookness about other digital textual genres

Active memory controller

Inability to hide main memory latency has been increasingly limiting the performance of modern processors. The problem is worse in large-scale shared memory systems, where remote memory latencies are hundreds, and soon thousands, of processor cycles. To mitigate this problem, we propose an intelligent memory and cache coherence controller (AMC) that can execute Active Memory Operations (AMOs). AMOs are select operations sent to and executed on the home memory controller of data. AMOs can eliminate a significant number of coherence messages, minimize intranode and internode memory traffic, and create opportunities for parallelism. Our implementation of AMOs is cache-coherent and requires no changes to the processor core or DRAM chips. In this paper, we present the microarchitecture design of AMC, and the programming model of AMOs. We compare AMOs\u27 performance to that of several other memory architectures on a variety of scientific and commercial benchmarks. Through simulation, we show that AMOs offer dramatic performance improvements for an important set of data-intensive operations, e.g., up to 50x faster barriers, 12x faster spinlocks, 8.5x-15x faster stream/array operations, and 3x faster database queries. We also present an analytical model that can predict the performance benefits of using AMOs with decent accuracy. The silicon cost required to support AMOs is less than 1% of the die area of a typical high performance processor, based on a standard cell implementation

Incorporating Flexibility in Anton, a Specialized Machine for Molecular Dynamics Simulation

An effective special-purpose supercomputer for molecular dynamics (MD) requires much more than high-performance acceleration of computational kernels: such accelerators must be balanced with general-purpose computation and communication resources. Achieving this balance was a significant challenge in the design of Anton, a parallel machine that will accelerate MD simulations by several orders of magnitude. Anton executes its most computationally demanding calculations on a highly specialized, enormously parallel, but largely non-programmable high-throughput interaction subsystem (HTIS). Other elements of the simulation have a less uniform algorithmic structure, and may also change in response to future advances in physical models and simulation techniques. Such calculations are executed on Anton’s flexible subsystem, which combines programmability with the computational power required to avoid “Amdahl’s Law ” bottlenecks arising from the extremely high throughput of the HTIS. Anton’s flexible subsystem is a heterogeneous multiprocessor with 12 cores, each organized around a 128-bit data path. This subsystem includes hardware support for synchronization, data transfer and certain types of particle interactions, along with specialized instructions for geometric operations. All aspects of the flexible subsystem were designed specifically to accelerate MD simulations, and although it relies primarily on what may be regarded as “general-purpose” processors, even this subsystem contains more application-specific features than many recently proposed “specialized ” architectures.