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WR2A: A Very-Wide-Register Reconfigurable-Array Architecture for Low-Power Embedded Devices

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Microarchitectural Low-Power Design Techniques for Embedded Microprocessors

Jeremy Hugues-Felix Constantin

With the omnipresence of embedded processing in all forms of electronics today, there is a strong trend towards wireless, battery-powered, portable embedded systems which have to operate under stringent energy constraints. Consequently, low power consumpti ...

EPFL2016

Parallelizing the Chambolle Algorithm for Performance Optimized Mapping on FPGA devices

David Atienza Alonso, Abdulkadir Akin, Ivan Beretta, Alessandro Antonio Nacci

The performance and the efficiency of recent computing platforms have been deeply influenced by the widespread adoption of hardware accelerators, such as Graphics Processing Units (GPUs) or Field Programmable Gate Arrays (FPGAs), which are often employed t ...

Assoc Computing Machinery2016

FPGAs are a popular target for application-specific accelerators because they lead to a good balance between flexibility and energy efficiency. However, FPGA lookup tables introduce significant area and power overheads, making it difficult to use FPGA devi ...

Ieee2016

Memory Systems and Interconnects for Scale-Out Servers

Stavros Volos

The information revolution of the last decade has been fueled by the digitization of almost all human activities through a wide range of Internet services. The backbone of this information age are scale-out datacenters that need to collect, store, and proc ...

EPFL2015

Enhancing Design Space Exploration by Extending CPU/GPU Specifications onto FPGAs

Andreas Peter Burg, Paolo Ienne, Georgios Karakonstantis, David Novo Bruna, Gabriel Falcao Paiva Fernandes, Madhura Purnaprajna, João Maria Duarte Andrade

The design cycle for complex special-purpose computing systems is extremely costly and time-consuming. It involves a multiparametric design space exploration for optimization, followed by design verification. Designers of special purpose VLSI implementatio ...

Assoc Computing Machinery2015

Convolution Engine: Balancing Efficiency and Flexibility in Specialized Computing

Christos Kozyrakis

General-purpose processors, while tremendously versatile, pay a huge cost for their flexibility by wasting over 99% of the energy in programmability overheads. We observe that reducing this waste requires tuning data storage and compute structures and thei ...

2015

GPU Acceleration for Simulating Massively Parallel Many-Core Platforms

David Atienza Alonso, Luca Benini, Martino Ruggiero, Shivani Raghav

Emerging massively parallel architectures such as a general-purpose processor plus many-core programmable accelerators are creating an increasing demand for novel methods to perform their architectural simulation. Most state-of-the-art simulation technolog ...

Institute of Electrical and Electronics Engineers2015

Scalable Simulation Methodologies for Many-Core Heterogeneous Systems

Shivani Raghav

With increasing complexity and performance demands of emerging compute-intensive data-parallel workloads, many-core computing systems are becoming a popular trend in computer design. Fast and scalable simulation methods are needed to make meaningful predic ...

EPFL2014

According to the World Health Organization, lifestyle-related diseases, e.g., cardiovascular diseases are the major cause of mortality worldwide. An accurate and continuous medical supervision is highly required for diagnosis and treatment of such diseases ...

EPFL2013

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Historically, hardware acceleration technologies have either been application-specific, therefore lacking in flexibility, or fully programmable, thereby suffering from notable inefficiencies on an application-by-application basis. To address the growing ne ...

Institute of Electrical and Electronics Engineers2013