Intel Research Pittsburgh Open House 2008



2008 IRP Open House Brochure (pdf)

Please join us for our Open House on October 28th, 2008 from 1pm to 6:00PM!

This annual event is an opportunity to experience the full range of our research activities and collaborations, via posters, demonstrations, and direct conversation with the researchers and students involved. We’ll be showing our latest work with Carnegie Mellon, UPitt, UPMC, and many others, in personal mobile robots, computer-assisted medicine, programmable matter, parallel machine learning, brain-machine interfaces, neighborhood-aware networking, computational perception, video-based gesture recognition, cloud computing on big data, big BDDs, multicore system design, and optical computing.

Please join us to discuss new research and innovation (ours and yours!), over light refreshments and snacks. We look forward to welcoming you on Oct 28th!

Schedule of Events

Note: Events in blue are for our Intel visitors and special guests only. All other events are free and open to the public.

Note: All events (except dinner on Monday evening) are at Intel Research Pittsburgh on the CMU campus, CIC Bldg, Suite 410, 4720 Forbes Ave, Pgh, PA,15213

Mon, Oct 27, 2008
4:30-5:30pm Joint CALCM/Intel Seminar: Chris Wilkerson, Intel, Trading off Cache Capacity for Reliability to Enable Low Voltage Operation (open to the public)
6:30-9:30pm Welcome Dinner (Intel only)
Location: Isabella, 1318 Grandview Ave, Pgh, PA, 15211, (412) 431-5882

Transportation provided to/from the 1st floor lobby of the IRP lab, CIC Bldg, 4720, Forbes Ave, Pittsburgh, PA, 15213, Shuttle pickups at CIC at 6:30, 7:00, and 7:20.

Tue, Oct 28, 2008
8:00-9:00amBreakfast (Intel visitors)
9:00-11:30amPrivate Showing for Intel visitors
10:00-12:00noonPrivate Showing for invited CMU guests
10:30-11:30amPress tour
11:30am-1:00pmLunch reception (open to the public)
1:00-2:00pmDistinguished lecture: Prof. David Andersen, CMU Computer Science Dept, Building Energy-efficient Clusters for I/O-intensive workloads: A Fast Array of Wimpy Nodes (FAWN) (open to the public)
2:00-3:00pmDistinguished lecture: Prof. Chris Atkeson, CMU Robotics Institute, Generating Behavior: Would Custom Hardware Help? (open to the public)
3:00-6:00pmPublic Open House (open to the public)

Example Demos

Here is a small sampling of the demos you'll be seeing:

  • Personal Robotics - An autonomous mobile manipulator that combines our latest research in object recognition, navigation, motion planning, and grasping to perform complex (for a robot!) kitchen chores such as searching for, locating, and registering objects in high clutter, opening doors, manipulating heavy and constrained objects, and placing objects in cabinets, shelves, or the refrigerator, or handing them to members of the audience (with the CMU Robotics Institute and Intel Research Seattle).
  • Dynamic Physical Rendering - Objects that change shape under software control and in response to human interaction to enable morphable, tangible 3D displays and user interfaces. See the hardware and software research progress we've made in the last year toward this tantalizing goal, as well as the latest ideas we have about applications for DPR (with the CMU CS and ECE departments, and the Air Force Research Lab).
  • Gestris - A Tetris game that you play using gestures. Wii without the remote! (with the CMU Robotics Institute).
  • Computer-Assisted Medicine - Computer systems that help doctors diagnose skin cancer, eye diseases, and track stem cells as they reproduce (with the CMU Robotics Institute, UPitt Medical School, UPMC, and Georgia Tech).
  • Wireless Access Point Localization - A wardriving-based system that can pinpoint the locations of the wireless access points in neighborhood (with the CMU CS Department and Intel Research Seattle).
  • Fast Parallel Object Recognition - A vision system that uses parallel cluster-computing to recognize objects in videos in real time (with Intel Research Seattle and Intel Research Berkeley).
  • Tashi - A cluster management system for cloud computing on big data. The demo will include stress testing of the system-- find out how many virtual machines can successfully play musical chairs on Tashi (with the CMU PDL lab).
  • Log-Based Architectures - Runtime software correctness-checking is becoming an increasingly valuable feature as the size of software systems continues to grow. Our Log-Based Architectures (LBA) design improves the performance of correctness-checking through the addition of new processor hardware. However, additional techniques are required to (1) take advantage of data stability in checking tools and (2) cope with multithreaded applications, particularly with relaxed memory consistency. Both issues will be presented as part of our demonstration (with the CMU CS and ECE departments).
  • BigBDD - Binary Decision Diagrams (BDDs) are data structures that can be used to solve a number of design and verification problems. We're developing new algorithms for managing very large BDDs, "BigBDDs", by processing subsets of the data structure separately. Try to stump the algorithms as they try to place dominos on a virtual chess board (with the CMU CS department).
  • PCI-Express Over Optics - We demonstrate successful transmission of PCI-Express traffic between an endpoint device and host computer across a transparent, all-optical wavelength division multiplexed photonic interconnection network interface (with Columbia University).
  • Digital Signal Processing for Low Cost Optical Links in the Data Center - Optical Orthogonal Frequency Division Multiplexing (OFDM) is a promising technique to transmit data at 10 Gbps and above. We use SPIRAL automatically-generated FFT/IFFT high-performance IP cores to demonstrate a real time, multi-gigabit OFDM transmitter using Xilinx Virtex-4 FPGA (with University College London and CMU).

Previous Open Houses