SC12 Home > SC12 Schedule > SC12 Presentation - Unleashing the High Performance and Low Power of Multi-Core DSPs for General-Purpose HPC

SCHEDULE: NOV 10-16, 2012

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Unleashing the High Performance and Low Power of Multi-Core DSPs for General-Purpose HPC

SESSION: Maximizing Performance on Multi-Core and Many-Core Architectures

EVENT TYPE: Papers

TIME: 1:30PM - 2:00PM

SESSION CHAIR: Atsushi Hori

AUTHOR(S):Francisco D. Igual, Murtaza Ali, Arnon Friedmann, Eric Stotzer, Timothy Wentz, Robert A. van de Geijn

ROOM:255-BC

ABSTRACT:
Take a multicore Digital Signal Processor (DSP) chip designed for cellular base stations and radio network controllers, add floating-point capabilities to support 4G networks, and out of thin air a HPC engine is born. The potential for HPC is clear: It promises 128 GFLOPS (single precision) for 10 Watts; It is used in millions of network related devices and hence benefits from economies of scale; It should be simpler to program than a GPU. Simply put, it is fast, green, and cheap. But is it easy to use? In this paper, we show how this potential can be applied to general-purpose high performance computing, more specifically to dense matrix computations, without major changes in existing codes and methodologies, and with excellent performance and power consumption numbers.

Chair/Author Details:

Atsushi Hori (Chair) - RIKEN

Francisco D. Igual - Texas Advanced Computing Center

Murtaza Ali - Texas Instruments

Arnon Friedmann - Texas Instruments

Eric Stotzer - Texas Instruments

Timothy Wentz - University of Illinois at Urbana-Champaign

Robert A. van de Geijn - University of Texas at Austin

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Unleashing the High Performance and Low Power of Multi-Core DSPs for General-Purpose HPC

SESSION: Maximizing Performance on Multi-Core and Many-Core Architectures

EVENT TYPE:

TIME: 1:30PM - 2:00PM

SESSION CHAIR: Atsushi Hori

AUTHOR(S):Francisco D. Igual, Murtaza Ali, Arnon Friedmann, Eric Stotzer, Timothy Wentz, Robert A. van de Geijn

ROOM:255-BC

ABSTRACT:
Take a multicore Digital Signal Processor (DSP) chip designed for cellular base stations and radio network controllers, add floating-point capabilities to support 4G networks, and out of thin air a HPC engine is born. The potential for HPC is clear: It promises 128 GFLOPS (single precision) for 10 Watts; It is used in millions of network related devices and hence benefits from economies of scale; It should be simpler to program than a GPU. Simply put, it is fast, green, and cheap. But is it easy to use? In this paper, we show how this potential can be applied to general-purpose high performance computing, more specifically to dense matrix computations, without major changes in existing codes and methodologies, and with excellent performance and power consumption numbers.

Chair/Author Details:

Atsushi Hori (Chair) - RIKEN

Francisco D. Igual - Texas Advanced Computing Center

Murtaza Ali - Texas Instruments

Arnon Friedmann - Texas Instruments

Eric Stotzer - Texas Instruments

Timothy Wentz - University of Illinois at Urbana-Champaign

Robert A. van de Geijn - University of Texas at Austin

Add to iCal  Click here to download .ics calendar file

Add to Outlook  Click here to download .vcs calendar file

Add to Google Calendarss  Click here to add event to your Google Calendar