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Wajahat Qadeer
Researcher at Stanford University
Publications - 15
Citations - 1046
Wajahat Qadeer is an academic researcher from Stanford University. The author has contributed to research in topics: SIMD & Efficient energy use. The author has an hindex of 12, co-authored 15 publications receiving 975 citations.
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Proceedings ArticleDOI
Understanding sources of inefficiency in general-purpose chips
Rehan Hameed,Wajahat Qadeer,Megan Wachs,Omid Azizi,Alex Solomatnikov,Benjamin C. Lee,Stephen Richardson,Christos Kozyrakis,Mark Horowitz +8 more
TL;DR: The sources of these performance and energy overheads in general-purpose processing systems are explored by quantifying the overheads of a 720p HD H.264 encoder running on a general- Purpose CMP system and exploring methods to eliminate these overheads by transforming the CPU into a specialized system for H. 264 encoding.
Proceedings ArticleDOI
Convolution engine: balancing efficiency & flexibility in specialized computing
Wajahat Qadeer,Rehan Hameed,Ofer Shacham,Preethi Venkatesan,Christos Kozyrakis,Mark Horowitz +5 more
TL;DR: The Convolution Engine, specialized for the convolution-like data-flow that is common in computational photography, image processing, and video processing applications, is presented and it is demonstrated that CE is within a factor of 2-3x of the energy and area efficiency of custom units optimized for a single kernel.
Journal ArticleDOI
Rethinking Digital Design: Why Design Must Change
Ofer Shacham,Omid Azizi,Megan Wachs,Wajahat Qadeer,Zain Asgar,Kyle Kelley,John P. Stevenson,Stephen Richardson,Mark Horowitz,Benjamin C. Lee,Alex Solomatnikov,Amin Firoozshahian +11 more
TL;DR: Domain-specific chip generators are templates that codify designer knowledge and design trade-offs to create different application-optimized chips to reduce design costs.
Journal ArticleDOI
Convolution engine: balancing efficiency and flexibility in specialized computing
Wajahat Qadeer,Rehan Hameed,Ofer Shacham,Preethi Venkatesan,Christos Kozyrakis,Mark Horowitz +5 more
TL;DR: The Convolution Engine is presented---a programmable processor specialized for the convolution-like data-flow prevalent in computational photography, computer vision, and video processing and achieves energy efficiency by capturing data-reuse patterns, eliminating data transfer overheads, and enabling a large number of operations per memory access.
Journal Article
Heterogeneous wireless network management
TL;DR: In this paper, the authors developed an integrated approach for the management of power and performance of mobile devices in heterogeneous wireless environments. But, the power management of the interfaces has become essential, since battery lifetime is limited.