Arrays in behavioral specifications that are too large to fit into on-chip registers are usually mapped to off-chip memories during behavioral synthesis. We address the problem of system power reduction through transition count minimization on the memory address bus when these arrays are accessed from memory. We exploit regularity and spatial locality in the memory accesses and determine the ma...

Modern enterprises generate huge amounts of streaming data, for example, micro-blog feeds, financial data, network monitoring and industrial application monitoring. While Data Stream Management Systems have proven successful in providing support for real-time alerting, many applications, such as network monitoring for intrusion detection and real-time bidding, require complex analytics over his...

This paper reviews P´olya urn models and their connection to random trees. Basic results are presented, together with proofs that underly the historical evolution of the accompanying thought process. Extensions and generalizations are given according to chronology: • P´olya-Eggenberger’s urn • Bernard Friedman’s urn • Generalized P´olya urns • Extended urn schemes • Invertible urn schemes ...

The SIRAC laboratory has developed SciFS, a Distributed Shared Memory (DSM) that tries to benefit from the high performances and the remote addressing capabilities of the Scalable Coherent Interface (SCI) memory mapped network. We use SciFS for high performance cluster computing but we now experiment with it to build large scale clustered web caches. We propose Whoops! a clustered web cache pro...

The last twenty years have witnessed the constant reaction of the security community to memory corruption attacks and the evolution of attacking techniques in order to circumvent the newly-deployed countermeasures. In this evolution, the heap of a process received little attention and thus today, the problem of heap overflows is largely unsolved. In this paper we present HeapSentry, a system de...

In this paper, the ability of a binary neural-network comprising only neurons with zero thresholds and binary weights to map given samples of a Boolean function is studied. A mathematical model describing a network with such restrictions is developed. It is shown that this model is quite amenable to algebraic manipulation. A key feature of the model is that it replaces the two input and output ...

This article presents a hierarchical query execution strategy for a parallel object-oriented database (OODB) system. The system, named PRACTIC, is based on a concurrent active class management model and is mapped to an abstract hierarchical multiprocessor architecture. The proposed strategy is studied analytically and by simulation on a transputer-based machine, verifying the theoretical result...