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» GPU Versus FPGA for High Productivity Computing
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FPL
2010
Springer
134views Hardware» more  FPL 2010»
13 years 1 months ago
GPU Versus FPGA for High Productivity Computing
Heterogeneous or co-processor architectures are becoming an important component of high productivity computing systems (HPCS). In this work the performance of a GPU based HPCS is c...
David Huw Jones, Adam Powell, Christos-Savvas Boug...
FPL
2009
Springer
117views Hardware» more  FPL 2009»
13 years 8 months ago
Data parallel FPGA workloads: Software versus hardware
Commercial soft processors are unable to effectively exploit the data parallelism present in many embedded systems workloads, requiring FPGA designers to exploit it (laboriously) ...
Peter Yiannacouras, J. Gregory Steffan, Jonathan R...
ARC
2012
Springer
317views Hardware» more  ARC 2012»
11 years 11 months ago
A High Throughput FPGA-Based Implementation of the Lanczos Method for the Symmetric Extremal Eigenvalue Problem
Iterative numerical algorithms with high memory bandwidth requirements but medium-size data sets (matrix size ∼ a few 100s) are highly appropriate for FPGA acceleration. This pap...
Abid Rafique, Nachiket Kapre, George A. Constantin...
TCAD
2011
12 years 10 months ago
High-Level Synthesis for FPGAs: From Prototyping to Deployment
—Escalating system-on-chip design complexity is the design community to raise the level of abstraction beyond register transfer level. Despite the unsuccessful adoptions of early...
Jason Cong, Bin Liu, Stephen Neuendorffer, Juanjo ...
FPL
2003
Springer
146views Hardware» more  FPL 2003»
13 years 8 months ago
Domain-Specific Reconfigurable Array for Distributed Arithmetic
Distributed Arithmetic techniques are widely used to implement Sum-of-Products computations such as calculations found in multimedia applications like FIR filtering and Discrete Co...
Sami Khawam, Tughrul Arslan, Fred Westall