The limited capacity of working memory is intrinsic to human sentence processing, and therefore must be addressed by any theory of human sentence processing. I assume that the amount of short term memory that is necessary at any stage in the parsing process is determined by the syntactic, semantic and pragmatic properties of the structure(s) that have been built up to that point in the parse. A...

We present a novel test architecture which combines IEEE 1149.1 Boundary-Scan with a Memory Built-In Self-Test. The TDI pin is used for serially shifting in the test data into a test data register which is connected to the memory. The finite state machine of the TAP controller performs the memory test algorithm. The test response is shifted out via the TDO pin for off-chip analyses. The test ar...

In this paper, we present a new technique to improve the reliability of SRAMs used in space radiation environments. This technique deals with the SRAM power-bus monitoring by using Built-In Current Sensor (BICS) circuits that detect abnormal current dissipation in the memory power-bus. This abnormal current is the result of a single-event upset (SEU) in the memory and it is generated during the...

In this paper we describe searchable translation memories, which allow translators to search their archives for possible translations of phrases. We describe how statistical machine translation can be used to align subsentential units in a translation memory, and rank them by their probability. We detail a data structure that allows for memory-efficient storage of the index. We evaluate the acc...

Compressed graphs representation has become an attractive research topic because of its applications to the manipulation of huge Web graphs in main memory. By far the best current result is the technique by Boldi and Vigna, which takes advantage of several particular properties of Web graphs. In this paper we show that the same properties can be exploited with a different and elegant technique,...

HYRISE is a new relational storage engine for main memory database systems. It is built on the premise that enterprise application workloads can benefit from a dedicated main-memory storage engine. The key idea behind HYRISE is that it provides dynamic vertical partitioning of the tables it stores. Since enterprise applications typically use a large number of very wide tables, we designed a nov...

We present ByteSTM, a virtual machine-level Java STM implementation that is built by extending the Jikes RVM. ByteSTM implements two STM algorithms, TL2 and RingSTM. We modify Jikes RVM’s Optimizing compiler to transparently support implicit transactions. Being implemented at the VM-level, it accesses memory directly and handles memory uniformly, and avoids Java garbage collection by manually m...

We evaluate the possibility of moving medium-sized calculation in lattice field theory from vector supercomputers to cluster computers, namely clusters built from Alpha processors and Myrinet interconnect, and find that a mediumsized system with a performance of 10 to 20 GFlop/s can be easily and cost-effectively built from current off-the-shelf components. The performance of the algorithms is ...

One problem associated with coevolutionary algorithms is that of forgetting, where one or more previously acquired traits are lost only to be needed later. We introduce a new coevolutionary memory mechanism to help prevent forgetting that is built upon game-theoretic principles, specifically Nash equilibrium. This “Nash memory” mechanism has the following properties: 1) It accumulates a collect...

Memory is a critical resource that is non-renewable and is time consuming to regenerate by reclaim. While there are several tools available to understand the amount of memory utilized by an application, there is presently little infrastructure to capture the physical memory reference pattern of an application on a live system. This knowledge would enable the software developers and hardware des...