Machine-learning algorithms are employed in a wide variety of applications to extract useful information from data sets, and many are known to suffer from superlinear increases in ...
Karthik Nagarajan, Brian Holland, Alan D. George, ...
In this paper, we describe a prototype software framework that implements a formalized methodology for partitioning computational intensive applications between reconfigurable har...
Michalis D. Galanis, Athanasios Milidonis, George ...
Until a decade ago, the concept of phased array beamforming was mainly implemented with mechanical or analog solutions. Today, digital hardware has become powerful enough to perfor...
Marcel D. van de Burgwal, Kenneth C. Rovers, Koen ...
VLIW and EDGE (Explicit Data Graph Execution) architectures rely on compilers to form high-quality hyperblocks for good performance. These compilers typically perform hyperblock f...
Bertrand A. Maher, Aaron Smith, Doug Burger, Kathr...
In this paper, we utilize Rent’s rule as an empirical measure for efficient clustering and placement of circuits on hierarchical FPGAs. We show that careful matching of design c...
Amit Singh, Ganapathy Parthasarathy, Malgorzata Ma...