overview of previous research done in this group Scheme most of our work uses the Scheme dialect of Lisp, for which we developed and maintain the MIT Scheme implementation. People past and present members of this group Publications selected MAC bibliography, amorphous computing papers Other...
message-passing in a single integrated hardware framework. Each Alewife node consists of a 33 MHz Sparcle integer unit, an off-the-shelf FPU, 64 kbytes of direct-mapped cache, and 4 Mbytes of globally-shared main memory. The nodes communicate via messages on a two-dimensional mesh network. The...
The Borealis page has moved to http://www.cs.brown.edu/research/borealis/. Borealis is based upon work supported by the National Science Foundation under Grant No. 0325703. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not...
People Menu Home Projects Cardinality Estimation DBOS IOHTAP Self-Organizing Data Containers TreeLine Video Analytics SeeSaw ExSample Automated Map Inference DSM Pipeline DB Kyrix Data Civilizer Northstar SageDB Scheduler Index Optimizer Data Base Designs People Publications Sponsors Menu Home...
An interactive system for ad-hoc searches on image databases SeeSaw targets the vexing scenario where we want to search for an ad-hoc concept in an image database. The goal is to enable the user to search for objects in the database and find some examples, even if these objects are rare and there...
Unleashing the potential of Big Data for a broader range of users requires a paradigm shift in the algorithms and tools used to analyze data. Exploring complex datasets needs more than a simple question-and-response interface. Ideally, the...
SCM is a portable Scheme implementation conforming to Revised^5 Report on the Algorithmic Language Scheme and the IEEE P1178 specification.
ExSample: searching video databases through adaptive sampling of video frames ExSample's goal is to process object search queries when we have a black box detector model, and a warehouse of video data without indexing. In video datasets, randomly sampling frames to inspect with an object detector...
Building on our work on ModelDB, PipelineDB is a system to help users log, replay, and debug their machine learning and data science pipelines. Our key observation is that machine learning is an iterative process that involves specifying a model (i.e., a set of features and parameters) along with...
Sponsors Menu Home Projects Cardinality Estimation DBOS IOHTAP Self-Organizing Data Containers TreeLine Video Analytics SeeSaw ExSample Automated Map Inference DSM Pipeline DB Kyrix Data Civilizer Northstar SageDB Scheduler Index Optimizer Data Base Designs People Publications Sponsors Menu Home...