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TVLSI
2008
150views more  TVLSI 2008»
13 years 5 months ago
Data Memory Subsystem Resilient to Process Variations
As technology scales, more sophisticated fabrication processes cause variations in many different parameters in the device. These variations could severely affect the performance o...
M. Bennaser, Yao Guo, Csaba Andras Moritz
ICPP
2008
IEEE
14 years 5 days ago
Improving the Performance of Multithreaded Sparse Matrix-Vector Multiplication Using Index and Value Compression
Abstract—The Sparse Matrix-Vector Multiplication kernel exhibits limited potential for taking advantage of modern shared memory architectures due to its large memory bandwidth re...
Kornilios Kourtis, Georgios I. Goumas, Nectarios K...
IPPS
2007
IEEE
14 years 1 days ago
Memory Optimizations For Fast Power-Aware Sparse Computations
— We consider memory subsystem optimizations for improving the performance of sparse scientific computation while reducing the power consumed by the CPU and memory. We first co...
Konrad Malkowski, Padma Raghavan, Mary Jane Irwin
ICCAD
2004
IEEE
114views Hardware» more  ICCAD 2004»
14 years 2 months ago
High-level synthesis using computation-unit integrated memories
Abstract— High-level synthesis (HLS) of memory-intensive applications has featured several innovations in terms of enhancements made to the basic memory organization and data lay...
Chao Huang, Srivaths Ravi, Anand Raghunathan, Nira...
ICPP
2009
IEEE
14 years 12 days ago
Perfomance Models for Blocked Sparse Matrix-Vector Multiplication Kernels
—Sparse Matrix-Vector multiplication (SpMV) is a very challenging computational kernel, since its performance depends greatly on both the input matrix and the underlying architec...
Vasileios Karakasis, Georgios I. Goumas, Nectarios...