Shared memory multiprocessors require reconfigurable interconnection networks (INs) for scalability. These INs are reconfigured by an IN control unit. However, these INs are often plagued by undesirable reconfiguration time that is primarily due to control latency, the amount of time delay that the control unit takes to decide on a desired new IN configuration. To reduce control latency, a trainable prediction unit (PU) was devised and added to the IN controller. The PU's job is to anticipate and reduce control configuration time, the major component of the control latency. Three different on-line prediction techniques were tested to learn and predict repetitive memory access patterns for three typical parallel processing applicat...
Efficient data supply to the processor is the one of the keys to achieve high performance. However, ...
Microarchitectural prediction based on neural learning has received increasing attention in recent y...
Multilayer Perceptron Network (MLP) has a better prediction Multilayer Perceptron Network (MLP) has ...
A neural network based technique is introduced which hides the control latency of reconfigurable int...
A neural network based technique is introduced which hides the control latency of reconfigurable int...
Opto-electronic reconfigurable interconnection networks are limited by significant control latency w...
Opto-electronic reconfigurable interconnection networks are limited by significant control latency w...
Opto-electronic reconfigurable interconnection networks are limited by significant control latency w...
Reconfigurable optical interconnect technologies will allow the fabrication of run-time adaptable ne...
Converged access networks consolidating 5G and beyond and fixed optical fiber access are expected to...
Scientific and technological advances in the area of integrated circuits have allowed the performanc...
Evaluation of performance for complex applications such as Artificial Intelligence (AI) algorithms a...
This paper presents, describes and evaluates the Machine Learning Performance Monitor (MLPM), an inn...
. A performance prediction method is presented for indicating the performance range of MIMD parallel...
Recent research advocates using general message predictors to learn and predict the coherence activi...
Efficient data supply to the processor is the one of the keys to achieve high performance. However, ...
Microarchitectural prediction based on neural learning has received increasing attention in recent y...
Multilayer Perceptron Network (MLP) has a better prediction Multilayer Perceptron Network (MLP) has ...
A neural network based technique is introduced which hides the control latency of reconfigurable int...
A neural network based technique is introduced which hides the control latency of reconfigurable int...
Opto-electronic reconfigurable interconnection networks are limited by significant control latency w...
Opto-electronic reconfigurable interconnection networks are limited by significant control latency w...
Opto-electronic reconfigurable interconnection networks are limited by significant control latency w...
Reconfigurable optical interconnect technologies will allow the fabrication of run-time adaptable ne...
Converged access networks consolidating 5G and beyond and fixed optical fiber access are expected to...
Scientific and technological advances in the area of integrated circuits have allowed the performanc...
Evaluation of performance for complex applications such as Artificial Intelligence (AI) algorithms a...
This paper presents, describes and evaluates the Machine Learning Performance Monitor (MLPM), an inn...
. A performance prediction method is presented for indicating the performance range of MIMD parallel...
Recent research advocates using general message predictors to learn and predict the coherence activi...
Efficient data supply to the processor is the one of the keys to achieve high performance. However, ...
Microarchitectural prediction based on neural learning has received increasing attention in recent y...
Multilayer Perceptron Network (MLP) has a better prediction Multilayer Perceptron Network (MLP) has ...