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Mario Toma

Researcher at STMicroelectronics

Publications -  27
Citations -  507

Mario Toma is an academic researcher from STMicroelectronics. The author has contributed to research in topics: Reconfigurable computing & Very long instruction word. The author has an hindex of 12, co-authored 27 publications receiving 503 citations. Previous affiliations of Mario Toma include University of Bologna.

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Journal ArticleDOI

A VLIW processor with reconfigurable instruction set for embedded applications

TL;DR: A new architecture for embedded reconfigurable computing, based on a very-long instruction word (VLIW) processor enhanced with an additional run-time configurable datapath, leading to an improvement in both timing performance and power consumption.
Journal ArticleDOI

XiSystem: a XiRisc-based SoC with a reconfigurable IO module

TL;DR: A XiSystem SoC is presented, which integrates two different field-programmable devices to provide application-specific computing blocks and IOs and a XiRisc reconfigurable processor is exploited to achieve more than one order of magnitude speed-up and energy consumption reduction.
Journal ArticleDOI

Baseband analog front-end and digital back-end for reconfigurable multi-standard terminals

TL;DR: This paper presents analog and digital base-band circuits that are able to support GSM (with EDGE), WCDMA (UMTS), WLAN and Bluetooth using reconfigurable building blocks that can trade off power consumption for performance on the fly, depending on the standard to be supported and the required QoS level.
Proceedings ArticleDOI

A pipelined configurable gate array for embedded processors

TL;DR: This paper presents a new configurable unit explicitly designed to implement additional reconfigurable pipelined datapaths, suitable for the design of reconfigured processors.
Proceedings ArticleDOI

A C-based algorithm development flow for a reconfigurable processor architecture

TL;DR: A C-based algorithm development flow for XiRisc, a reconfigurable processor architecture targeted at embedded systems, that couples a VLIW risc core with a custom designed programmable hardware unit optimized for being programmed starting from data flow graph (DFG) descriptions is presented.