Subutai: Speeding Up Legacy Parallel Applications Through Data Synchronization
International audience
Why is FPGA-GPU Heterogeneity the Best Option for Embedded Deep Neural Networks?
Graphics Processing Units (GPUs) are currently the dominating programmable architecture for Deep Learning (DL) accelerators. The adoption of Field Programmable Gate Arrays (FPGAs) in DL accelerators is however getting momentum. In this paper, we demonstrate that Direct Hardware Mapping (DHM) of a Convolutional Neural Network (CNN) on an embedded FP...
Enabling multi-programming mechanism for quantum computing in the NISQ era
As NISQ devices have several physical limitations and unavoidable noisy quantum operations, only small circuits can be executed on a quantum machine to get reliable results. This leads to the quantum hardware under-utilization issue. Here, we address this problem and improve the quantum hardware throughput by proposing a multiprogramming approach t...
Benchmarking Quantized Neural Networks on FPGAs with FINN
The ever-growing cost of both training and inference for state-of-the-art neural networks has brought literature to look upon ways to cut off resources used with a minimal impact on accuracy. Using lower precision comes at the cost of negligible loss in accuracy. While training neural networks may require a powerful setup, deploying a network must ...
Memory Hierarchy Calibration Based on Real Hardware In-order Cores for Accurate Simulation
Computer system simulators are major tools used by architecture researchers. Two key elements play a role in the credibility of simulator results: (1) the simulator's accuracy, and (2) the quality of the baseline architecture. Some simulators, such as gem5, already provide highly accurate parameterized models. However, finding the right values for ...
Optimising Hardware Accelerated Neural Networks with Quantisation and a Knowledge Distillation Evolutionary Algorithm
International audience
Embedded Computation Architectures for Autonomy in Unmanned Aircraft Systems (UAS)
International audience
Microprocessor 5. Software and Hardware Aspects of Development, Debugging and Testing – The Microcomputer
Since its commercialization in 1971, the microprocessor, a modern and integrated form of the central processing unit, has continuously broken records in terms of its integrated functions, computing power, low costs and energy saving status. Today, it is present in almost all electronic devices. Sound knowledge of its internal mechanisms and program...
Microprocessor 4. Core Concepts: Software Aspects
Since its commercialization in 1971, the microprocessor, a modern and integrated form of the central processing unit, has continuously broken records in terms of its integrated functions, computing power, low costs and energy saving status. Today, it is present in almost all electronic devices. Sound knowledge of its internal mechanisms and program...
Freezer: A Specialized NVM Backup Controller for Intermittently-Powered Systems
The explosion of IoT and wearable devices determined a rising attention towards energy harvesting as source for powering these systems. In this context, many applications cannot afford the presence of a battery because of size, weight and cost issues. Therefore, due to the intermittent nature of ambient energy sources, these systems must be able to...
