BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Talks.cam//talks.cam.ac.uk//
X-WR-CALNAME:Talks.cam
BEGIN:VEVENT
SUMMARY:Women@CL talklet event - Yousun Ko\, Bihao Wang\, Diana Andreea Po
 pescu
DTSTART:20171124T130000Z
DTEND:20171124T140000Z
UID:TALK99412@talks.cam.ac.uk
CONTACT:Ayat Fekry
DESCRIPTION:Speaker: Yousun Ko\n\nTitle: Hardware/Software Co-refinement f
 or Next-Generation Computer Accelerators\n\nAbstract: \nThe speed of proce
 ssors has been grown exponentially\, doubling every two years for last dec
 ades. However\, the maximum speed of high-end processors has remained at a
 round 4.0 GHz for more than ten years now. To resurrect conventional compu
 ting power scaling and meet the ever-growing demand for faster and energy 
 efficient processors\, we propose to explore new techniques for developing
  combined HW/SW accelerator solutions for domain-specific application. Tra
 ditional HW/SW co-design methodologies typically limit the design spaces a
  priori to make the design spaces amenable to handle\, which may foreclose
  promising solutions inadvertently. To offer open-ended design space explo
 ration without loss of optimality and feasibility\, we suggest incremental
  and iterative refinement of both hardware and software from a many-core p
 rocessor template\, Loki.\n\n———\nSpeaker: Bihao Wang\n\nTitle: Mono
 -vision based moving object detection in complex traffic scenes\n\nAbstrac
 t:\nTraffic scene understanding has been a popular topic for the past few 
 years\, especially in the field of advanced driving system and autonomous 
 vehicles. Among these methods\, vision based moving object detection from 
 a moving vehicle is still one of the most challenging subjects\, because o
 f the complexity of motion models\, changing illumination conditions and l
 imited embedded processing capabilities. In this talk\, I will present som
 e existing approaches to encourage a broad discussion on this topic.\n\n
 ———\nSpeaker: Diana Andreea Popescu\n\nTitle: Title: A Look at Netwo
 rk Latency in Data Centres and How It Affects Application Performance\n\nA
 bstract: \nBusinesses and individuals run increasing numbers of applicatio
 ns in the cloud. The performance of an application running in the cloud de
 pends on the data center conditions and upon the resources committed to an
  application. Small network delays may lead to a significant performance d
 egradation\, which affects both the user’s cost and the service provider
 ’s resource usage\, power consumption and data center efficiency. We sho
 w how to use the Precision Time Protocol (PTP) to infer network latency an
 d packet loss in data centers\, and we conduct a small scale study of netw
 ork latency and packet loss measurements in data centers from different cl
 oud providers\, using PTPd\, an open-source software implementation of PTP
  . We quantify the effect of network latency on several typical cloud appl
 ications\, varying in complexity and use cases. Our results show that diff
 erent applications are affected by fixed and variable latency to differing
  amounts.\n
LOCATION:Computer Laboratory\, William Gates Building\, Room FW11
END:VEVENT
END:VCALENDAR