Effective October 1, 2012, QUALCOMM Incorporated completed a corporate reorganization in which the assets of certain of its businesses and groups, as well as the stock of certain of its direct and indirect subsidiaries, were contributed to Qualcomm Technologies, Inc. (QTI), a wholly-owned subsidiary of QUALCOMM Incorporated. Learn more about these changes

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Qualcomm Research Silicon Valley

Qualcomm Research Silicon Valley was established to pursue new areas of research which will contribute significantly to Qualcomm’s future product portfolio. Our research interests are broad and cover topics from indoor positioning, mobile web applications, parallel systems, and user centric designs. We have a collaborative culture, where researchers across a variety of disciplines collaborate to find innovative solutions for the wireless marketplace. We also work closely with various products groups within Qualcomm to ensure our projects have broad impact.

Expertise: Indoor Navigation, Multi Core Mobile Processors

Qualcomm Research Silicon Valley Projects

Dynamic Code Optimization

  • Goal: Optimize power and performance for heterogeneous multicore systems
  • Use dynamic code optimization and hardware/software co-design to optimize the power efficiency and performance of Qualcomm SOCs
  • Explore the use of virtual machines and advanced compilation technologies and hardware/software co-design
  • Discover and develop new mechanisms by applying a variety of virtual machine technologies such as dynamic optimization, binary translation and resource management

Indoor Positioning

  • Goal: Deliver accurate indoor positioning on a mobile device using Wi-Fi and sensors
  • Measure several signal properties from different Wi-Fi access points (APs) or any available anchor nodes
  • Combine measurements to estimate position and perform stochastic estimation of trajectory for very precise indoor positioning
  • Allow Wi-Fi measurements to be augmented by any sensor data to estimate final position
  • Enable new classes of indoor location-based applications such as coupon delivery in malls, gate information at airports, whereabouts of in-store items, location-based digital rights management and worker safety tracking

Pervasive Concurrency

  • Goal: Enable pervasive concurrency in mobile applications by taking advantage of the SOC hardware
  • Design optimized mobile app runtime libraries, system software and novel hardware-software interfaces to eliminate overhead of parallel execution and reduce power consumption
  • Use application behavior to define new programming abstractions and models for heterogeneous computing
  • Provide developers with greater flexibility by improving application performance and extending the battery life of mobile devices

Mobile Security

  • Goal: Discover advanced techniques that enable a mobile device to safeguard itself against apps that are actively malicious or poorly written
  • Explore new observation techniques to identify and focus on problem areas within a device’s software and systems
  • Develop new analysis techniques to correlate observations with knowledge of the mobile hardware and software

Mobile Cloud Computing

  • Goal: Discover techniques to optimize the delivery of cloud services to mobile devices
  • Enable cloud applications to expand from data centers towards nodes closer to the mobile devices
  • Enhance mobile applications by leveraging capabilities of nodes in the communication infrastructure

Compilers for Embedded Processors

  • Goal: Research Language and Compilation techniques to enable efficient programming of special purpose accelerator architectures
  • Deliver state of the art software tool-chain for high-quality code generation for Vector Processor
  • Deliver tools to enable rapid exploration of domain-specific processor architecture, and hardware/software co-design
  • Research compiler optimizations to analyze, transform and compile high-level language programs for data and instruction, parallel processor architectures