Presentation on graphics processing unit (GPU)

Presentation on graphics processing unit (GPU)

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  BY: MUNTASIR MUHIT TONMOY STUDENT,BSC.(1ST SEMESTER) DEPARTMENT OF SOFTWARE ENGINEERING ID : 191-35-399 DAFFODIL INTERNATIONAL UNIVERSITY DHAKA GRAPHICS PROCESSING UNIT
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  INTRODUCTION *GPU is agraphical processing unit which enables you run high definitions graphics on your PC, which are the emend of modern computing. Like the CPU , it is a single chip processor. The GPU has hundreds of cores as compared to the 4 or 8 in the latest CPUs. The primary job of the GPU is to compute 3D functions .
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  G P UARCHITECTURE *Control hardware dominates processors *Complex, difficult to build *Takes substantial fraction of die Scales poorly *Pay for max output, sustain average output *Quadratic dependency checking *Control hardware doesn’t do any math!
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  G P UARCHITECTURE (LAST 20 YEARS)
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  LATEST TECHNOLOGY USE NVIDIA –Tesla HPC specific GPUs have evolved from GeForce series *AMD – Fire Stream HPC specific GPUs have evolved from (ATI) Radeon series *Intel – Knights Corner many-core x86 chip is like hybrid between a GPU and many-core CPU
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  CHARACTERISTICS OF GRAPHICS ING P U *Large computational requirements *Massive parallelism *Graphics pipeline designed for independent operations * GPUs are good at parallel, arithmetically intense, streaming-memory problems
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  CONCLUSION AND FUTUREWORK *This paper presents our evaluation and analysis of the efficiency of GPU computing for data-parallel scientific applications. Starting with a bimolecular code that calculates electrostatic properties in a data parallel manner (i.e., GEM), we evaluate our different implementations of GEM across three metrics: performance, energy consumption, and energy efficiency.