Learn More
This paper describes classification of typed student utterances within AutoTutor, an intelligent tutoring system. Utterances are classified to one of 18 categories, including 16 question categories. The classifier presented uses part of speech tagging, cascaded finite state transducers, and simple disambiguation rules. Shallow NLP is well suited to the(More)
The fixed geometries of current cache designs do not adapt to the working set requirements of modern applications, causing significant inefficiency. The short block lifetimes and moderate spatial locality exhibited by many applications result in only a few words in the block being touched prior to eviction. Unused words occupy between 17 -- 80% of a 64K L1(More)
Modern computing systems increasingly consist of multiple processor cores. From cell phones to datacenters, multicore computing has become the standard. At the same time, our understanding of the performance impact resource sharing has on these platforms is limited, and therefore, prevents these systems from being fully utilized. As the capacity of FPGAs(More)
Combining multi-processing with the high level of configurability possible with FPGA-based soft-processors, this paper presents a multiprocessing framework based on the MicroBlaze soft-processor that provides multicore support and fully coherent, independently configurable Level 1 Caches with Linux multicore support. This architecture allows for fine-grain(More)
—Processor systems contain a limited number of hardware counters that provide some visibility for certain types of interactions, but do not support sophisticated analysis due to limited resources. By contrast, system software simulators provide multidimensional runtime data, but slowdown application execution, often resulting in an inaccurate picture of(More)
An ideal way for people to query graph-based knowledge, including triplestores in the semantic web, would be for them to ask questions in a natural language (NL). However, existing NL query interfaces to graph-based data have limited expressive power and cannot accommodate arbitrarily-nested quantification (i.e. phrases such as " a gangster who joined every(More)
In this work, we present PolyBlaze, a scalable and configurable multicore platform for FPGA-based embedded systems and systems research. PolyBlaze is an extension of the MicroBlaze soft processor, leveraging the configurability of the MicroBlaze and bringing it into the multicore era with Linux Symmetric Multi-Processor (SMP) support. This work details the(More)
—When designing modern embedded computing systems , most software programmers choose to use multicore processors , possibly in combination with general-purpose graphics processing units (GPGPUs) and/or hardware accelerators. They also often use an embedded Linux O/S and run multi-application workloads that may even be multi-threaded. Modern FPGAs are large(More)
  • 1