• No results found

hardware accelerator

Efficient Deep Learning Hardware Accelerator Using Past Adder

Efficient Deep Learning Hardware Accelerator Using Past Adder

... CNN accelerator are accounted ...CNN hardware accelerator just spotlight on accelerator, the convection portion overlooks the use of t he pooling ability typical of the CNN ...equipment ...

6

A System-Level SOC Verification Method based on Hardware Accelerator

A System-Level SOC Verification Method based on Hardware Accelerator

... the hardware accelerator, the running light program which is described by high transaction-level is converted to the test stimulus from the assembler mentioned ...

5

Master Interface For On-Chip Hardware Accelerator Burst Communications

Master Interface For On-Chip Hardware Accelerator Burst Communications

... Simulation of the SoC platform was done in SystemC using the SocLib environment. The main component of SocLib is currently a set of SystemC simulation models for common ip s ( mips pro- cessor, ram , NoC, busses, dma ). ...

14

Design of Power Optimization using C2H Hardware Accelerator and NIOS II Processor

Design of Power Optimization using C2H Hardware Accelerator and NIOS II Processor

... custom hardware accelerators directly from ANSI C source code. A hardware accelerator is a block of logic that implements a C function in hardware, which often improves the execution ...

5

Hardware accelerator sharing within an MPSOC with a connectionless NOC

Hardware accelerator sharing within an MPSOC with a connectionless NOC

... the accelerator sharing mechanism will be evaluated using a realistic ...Later hardware accelerators have been added to the platform to speed up specific parts of the ...the hardware ...

133

Hardware Accelerator Approach Towards Efficient Biometric Cryptosystems for Network Security

Hardware Accelerator Approach Towards Efficient Biometric Cryptosystems for Network Security

... Protecting data and its communication is a critical part of the modern network. The science of protecting data, known as cryptography, uses secret keys to encrypt data in a format that is not easily decipherable. ...

12

Design of Application Specific Instructions and Hardware Accelerator for Reed Solomon Codecs

Design of Application Specific Instructions and Hardware Accelerator for Reed Solomon Codecs

... their hardware accelerator to effi- ciently implement Reed-Solomon (RS) encoding and decoding, which is one of the most widely used forward error control (FEC) ...their hardware accelerator ...

9

Robust and reliable hardware accelerator design through high-level synthesis

Robust and reliable hardware accelerator design through high-level synthesis

... It is important to first understand how individual resilience techniques per- form standalone (the hardware costs, properties, and resilience improvement afforded by each technique in isolation). Table 9.2 ...

128

XPath Hardware Accelerator

XPath Hardware Accelerator

... The analysis starts by showing the CPU cycles savings that is incurred in encoding-to and decoding-from UTF-8 character representation. XPath functions take XML data as arguments. As seen in section 3.1 one of the main ...

101

Hardware Accelerator Design Approach for CNN based Low Power Applications

Hardware Accelerator Design Approach for CNN based Low Power Applications

... IV. HARDWARE COMPLEXITY AND ANALYSIS The pipelined architecture for the feature extraction shown in Fig 4 can be configured for any CNN model by appropriately loading the kernel buffer, configuring the stride size ...

5

FPGA Implementation of Machine Learning Hardware Accelerator for Mobile Applications of Brain Computer Interface

FPGA Implementation of Machine Learning Hardware Accelerator for Mobile Applications of Brain Computer Interface

... Abstract. Mobile application of brain-computer interface (BCI) system is of great significance. This paper first analyzes machine learning algorithms commonly used in BCI, and extracts QR decomposition as the core step ...

7

Design of a Scalable, Configurable, and Cluster-based Hierarchical Hardware Accelerator for a Cortically Inspired Algorithm and Recurrent Neural Networks.

Design of a Scalable, Configurable, and Cluster-based Hierarchical Hardware Accelerator for a Cortically Inspired Algorithm and Recurrent Neural Networks.

... bound. Hardware implementation of CNN in TPU shows only 5% of Google’s datacenter workload ...in hardware called Rectifier Liner Unit (ReLU) is often used to accelerate MLP and CNN in hardware [27, ...

127

Hardware based accelerator for database query using M-tree

Hardware based accelerator for database query using M-tree

... In order to verify value of the designed hardware acceleration, the comparison with the M-tree in software is done. The M-tree in software is written in python and developed by Paolo Ciaccia et al. which has been ...

43

A model of continuous linear electron 
		accelerator

A model of continuous linear electron accelerator

... an accelerator for the energy of 2-3 MeV and the beam power of 100 kW will not exceed the following dimensions: 1 m in length, 1 m in height, ...pulse accelerator, because the need is eliminated for a ...

5

The financial accelerator effect: concept and challenges

The financial accelerator effect: concept and challenges

... nancial accelerator theory also has cross sectional ...nancial accelerator theory predicts that economic shocks should have a stronger infl uence on economic agents that face severe asymmetric information ...

26

Designed for Maximum Accelerator Performance

Designed for Maximum Accelerator Performance

... GPU-accelerated computing offers unprecedented application performance by offloading the compute-intensive portions of the application to the GPU. The NVIDIA Tesla K40 GPU accelera- tor is the world’s fastest ...

10

Pre-Call for. EIT Health Accelerator Projects *** PUBLIC VERSION *** 1. Accelerator Core Activities

Pre-Call for. EIT Health Accelerator Projects *** PUBLIC VERSION *** 1. Accelerator Core Activities

... 2. For 2017, this pre-call shows how EIT Health partner institutions can apply to be involved in the 2017 activities and projects. Hosting institutions for Accelerator 2017 will be chosen in August 2016. The call ...

6

Twin Crises and the Financial Accelerator

Twin Crises and the Financial Accelerator

... In addition to a country’s stock of short-term debt d, it is clear from (3.1) that the probability of a run by creditors is also influenced by the return on domestic technology R. Because capital is intermediated through ...

84

Study of oscillations with accelerator and reactor neutrinos

Study of oscillations with accelerator and reactor neutrinos

... The current oscillation data is successfully described by the standard 3-flavor neutrino scheme, but large deviations from this paradigm are allowed. We still do not know how the neutrino masses are ordered. Do we have ...

9

Overview of the BINP accelerator complex

Overview of the BINP accelerator complex

... Injection Complex VEPP-5 is a linear accelerator based e+/e − beams source with Damping Ring (DR). It consists of 270 MeV driving electron Linac, 510 MeV positron Linac and DR. DR stores and cools down both ...

6

Show all 1626 documents...

Related subjects