Neural networks are a popular technique for learning the adaptive control of non-linear plants. When applied to the complex control of android robots, however, they suffer from se...
Heni Ben Amor, Shuhei Ikemoto, Takashi Minato, Ber...
Memory size reduction and memory accesses optimization are crucial issues for embedded systems. In the context of affine programs, these two challenges are classically tackled by ...
The performance of the barrier operation can be crucial for many parallel codes. Especially distributed shared memory systems have to synchronize frequently to ensure the proper o...
Torsten Hoefler, Torsten Mehlan, Frank Mietke, Wol...
The ability to store and retrieve information is critical in any type of neural network. In neural network, the memory particularly associative memory, can be defined as the one i...
Heap size has a huge impact on the performance of garbage collected applications. A heap that barely meets the application’s needs causes excessive GC overhead, while a heap tha...
Ting Yang, Matthew Hertz, Emery D. Berger, Scott F...