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What is next for accelerators? Turf war or collaboration? Stefan Möhl, Co-Founder, Chief Strategy Officer, Mitrionics.

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Presentation on theme: "What is next for accelerators? Turf war or collaboration? Stefan Möhl, Co-Founder, Chief Strategy Officer, Mitrionics."— Presentation transcript:

1 What is next for accelerators? Turf war or collaboration? Stefan Möhl, Co-Founder, Chief Strategy Officer, Mitrionics

2 Modern Hardware Accelerators Modern Accelerators are COTS –The main problem for HW accelerators in the past was the follow-on version –COTS guarantees next-generation support COTS Accelerators Today: –FPGAs (The part we do) –GPGPUs –Many-Core CPUs (Intel, AMD, STI Cell)

3 Which Accelerator to Choose? FPGAs, GPGPUs or Many-Core?

4 GPGPUs Advantages –Very high off-chip bandwidth (80+ GB/s) –High performance on DP-FP (250 peak GFLOPS) –Good price/performance Disadvantages –Errors (lack of ECC and full IEEE-fp support) –Heat –Not x86 compatible

5 FPGAs Advantages –High off-chip bandwidth (20+ GB/s)  0.5 TB/s to on-chip memories –HW acceleration on any operation  Very high performance on non FP add/mul –Low power (20 Watts) –Good price/performance Disadvantages –High unit cost –Not x86 compatible

6 Many-Core CPUs Advantages –Runs legacy code (at least on one core) –Runs full applications –Needed by other accelerators for Amdahl’s Law  A very fast device is needed to churn through the millions of lines of code that are not in the hot-spot! Disadvantages –Baseline performance –Heat –Runs legacy code slowly

7 Heterogeneous Computing GPGPUs Floating Point FPGAs Non-Floating Point Many-core CPUs Command & Control

8 Will the world go Heterogeneous? The Big Guys have made the choice AMD + ATI = AMD Fusion –Heterogeneous chip with GPGPU + Many-core CPU –Intel are already the largest manufacturer of Graphics HW Intel Quick-path/AMD Hypertransport –In-socket FPGAs directly on the system bus –Possible to add Cache-coherency and TLB Accelerators have gone COTS –Will stay around, if used in HPC or not Legacy code must be fine-grain parallelized –For Many-Core, GPGPU and FPGA alike

9 Where does Mitrionics fit in?

10 The HPC FPGA Eco-System Bioinformatics, Text search, Financials, etc HW Module suppliers System vendor CPU/FPGA suppliers MVP & SDK App’s & Algo’s

11 The Mitrion Platform 1) The Mitrion Virtual Processor –A configurable processor design for a fine-grain massively parallel, soft-core processor –10-30 times faster than traditional CPUs at 20-25 Watts –Executes a program in an FPGA 2) The Mitrion-C programming language –An intrinsically parallel C-family language 3) The Mitrion Software Development Kit –Compiler –Debugger/Simulator –Processor configurator

12 Thank You! Mitrionics AB Ideon Science Park SE-223 70 Lund www.mitrionics.com stefan@mitrionics.com


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