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CNS: a GPU-based framework for simulating cortically-organized networks
(2010-02-26)
Computational models whose organization is inspired by the cortex are increasing in both number and popularity. Current instances of such models include convolutional networks, HMAX, Hierarchical Temporal Memory, and deep ...
Efficient Cache Coherence on Manycore Optical Networks
(2010-02-11)
Ever since industry has turned to parallelism instead of frequency scaling to improve processor performance, multicore processors have continued to scale to larger and larger numbers of cores. Some believe that multicores ...
Learning Generic Invariances in Object Recognition: Translation and Scale
(2010-12-30)
Invariance to various transformations is key to object recognition but existing definitions of invariance are somewhat confusing while discussions of invariance are often confused. In this report, we provide an operational ...
Heracles: Fully Synthesizable Parameterized MIPS-Based Multicore System
(2010-12-08)
Heracles is an open-source complete multicore system written in Verilog. It is fully parameterized and can be reconfigured and synthesized into different topologies and sizes. Each processing node has a 7-stage pipeline, ...
LEAP Scratchpads: Automatic Memory and Cache Management for Reconfigurable Logic [Extended Version]
(2010-11-23)
Developers accelerating applications on FPGAs or other reconfigurable logic have nothing but raw memory devices in their standard toolkits. Each project typically includes tedious development of single-use memory management. ...
Scalable directoryless shared memory coherence using execution migration
(2010-11-22)
We introduce the concept of deadlock-free migration-based coherent shared memory to the NUCA family of architectures. Migration-based architectures move threads among cores to guarantee sequential semantics in large ...
One-Shot Learning with a Hierarchical Nonparametric Bayesian Model
(2010-10-13)
We develop a hierarchical Bayesian model that learns to learn categories from single training examples. The model transfers acquired knowledge from previously learned categories to a novel category, in the form of a prior ...
Verification of Semantic Commutativity Conditions and Inverse Operations on Linked Data Structures
(2010-12-03)
Commuting operations play a critical role in many parallel computing systems. We present a new technique for verifying commutativity conditions, which are logical formulas that characterize when operations commute. Because ...
From primal templates to invariant recognition
(2010-12-04)
We can immediately recognize novel objects seen only once before -- in different positions on the retina and at different scales (distances). Is this ability hardwired by our genes or learned during development -- and ...
Conservative Rationalizability and The Second-Knowledge Mechanism
(2010-12-20)
In mechanism design, the traditional way of modeling the players' incomplete information about their opponents is "assuming a Bayesian." This assumption, however, is very strong and does not hold in many real applications. ...