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» Compress-and-conquer for optimal multicore computing
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PPOPP
2011
ACM
12 years 11 months ago
Compact data structure and scalable algorithms for the sparse grid technique
The sparse grid discretization technique enables a compressed representation of higher-dimensional functions. In its original form, it relies heavily on recursion and complex data...
Alin Florindor Murarasu, Josef Weidendorfer, Gerri...
ICS
2009
Tsinghua U.
14 years 1 months ago
Single-particle 3d reconstruction from cryo-electron microscopy images on GPU
Single-particle 3D reconstruction from cryo-electron microscopy (cryo-EM) images is a kernel application of biological molecules analysis, as the computational requirement of whic...
Guangming Tan, Ziyu Guo, Mingyu Chen, Dan Meng
CGO
2011
IEEE
13 years 7 days ago
Dynamically accelerating client-side web applications through decoupled execution
— The emergence and wide adoption of web applications have moved the client-side component, often written in JavaScript, to the forefront of computing on the web. Web application...
Mojtaba Mehrara, Scott A. Mahlke
IEEEPACT
2008
IEEE
14 years 2 months ago
Multi-optimization power management for chip multiprocessors
The emergence of power as a first-class design constraint has fueled the proposal of a growing number of run-time power optimizations. Many of these optimizations trade-off power...
Ke Meng, Russ Joseph, Robert P. Dick, Li Shang
EUROPAR
2009
Springer
14 years 3 months ago
PSPIKE: A Parallel Hybrid Sparse Linear System Solver
The availability of large-scale computing platforms comprised of tens of thousands of multicore processors motivates the need for the next generation of highly scalable sparse line...
Murat Manguoglu, Ahmed H. Sameh, Olaf Schenk