List of Articles پردازنده

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  1 - Investigating the Effects of Hardware Parameters on Power Consumptions in SPMV Algorithms on Graphics Processing Units (GPUs)
  Farshad Khunjush
  Although Sparse matrix-vector multiplication (SPMVs) algorithms are simple, they include important parts of Linear Algebra algorithms in Mathematics and Physics areas. As these algorithms can be run in parallel, Graphics Processing Units (GPUs) has been considered as on More

  Although Sparse matrix-vector multiplication (SPMVs) algorithms are simple, they include important parts of Linear Algebra algorithms in Mathematics and Physics areas. As these algorithms can be run in parallel, Graphics Processing Units (GPUs) has been considered as one of the best candidates to run these algorithms. In the recent years, power consumption has been considered as one of the metrics that should be taken into consideration in addition to performance.  In spite of this importance, to the best of our knowledge, studies on power consumptions in SPMVs algorithms on GPUs are scarce.  In this paper, we investigate the effects of hardware parameters on power consumptions in SPMV algorithms on GPUs. For this, we leverage the possibility of setting the GPU’s parameters to investigate the effects of these parameters on power consumptions. These configurations have been applied to different formats of Sparse Matrices, and the best parameters are selected for having the best performance per power metric. Therefore, as the results of this study the settings can be applied in running different Linear Algebra algorithms on GPUs to obtain the best performance per power. Manuscript profile
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  2 - Design of FPGA-based processor for SHA-2 series cryptographic algorithms Design ترجمه‌های design اسمفراوانی طرح plan, design, layout, project, scheme, plot نقشه map, plan, plot, scheme, plat, chart زمینه background, context, ground, setting, base, terrain تدبیر measure, plan, contraption, gimmick, contrivance, scheme قصد intention, intent, purpose, attempt, will, determination طراح ریزی design خیال imagination, phantom, illusion, thought, fiction, mind فعل طرح کردن design, plan, draft, draw, lay, bring forth قصد کردن attempt, decide, design, meditate تخصیص دادن allot, allocate, apportion, consecrate, give, design تدبیر کردن devise, contrive, meditate, compass, machinate, design تعریف‌های design اسم ۱ a plan or drawing produced to show the look and function or workings of a building, garment, or other object before it is built or made. he has just unveiled his design for the new museum مترادف‌ها: planblueprintdrawingscale drawingsketchoutlinemapplotdiagramdelineationdraftdepictionrepresentationartist's impressionschememodelprototypeproposal ۲ an arrangement of lines or shapes created to form a pattern or decoration. pottery with a lovely blue and white design مترادف‌ها: patternmotifdevicestylearrangementcompositionmakeuplayoutconstitutionconfigurationorganizationconstructionshapeformformationfigure purpose, planning, or intention that exists or is thought to exist behind an action, fact, or material object. the appearance of design in the universe مترادف‌ها: intentionaimpurposeplanintentobjectiveobjectgoalendtargetpointhopedesirewishdreamaspirationambitionidea فعل ۱ decide upon the look and functioning of (a building, garment, or other object), by making a detailed drawing of it. a number of architectural students were designing a factory مترادف‌ها: plandraw plans ofdrawsketchoutlinemap outplotblock outdelineatedraftdepictinventoriginatecreatethink upcome up withdeviseformformulateconceivemakeproducedevelopfashionfabricateforgehatchcoindream up مترادف design اسم planpatternintention فعل planinventdream upintend ۹۱ مترادف دیگر
  neda sedghahrabi Mohammad Ali Jabraeil Jamali
  20.1001.1.27170414.1397.10.37.1.6
  Secure decryption algorithms are a type of cryptographic algorithms whose importance in today's society has been highlighted by applications such as the use of personal digital tools to maintain confidentiality. On the other hand, with the advancement of technology, the More

  Secure decryption algorithms are a type of cryptographic algorithms whose importance in today's society has been highlighted by applications such as the use of personal digital tools to maintain confidentiality. On the other hand, with the advancement of technology, the need to implement these algorithms on flexible platforms can be challenging. Reducing the area and speeding up the execution of operations are the main challenges for designing and implementing these algorithms. This paper proposes a new architecture for the FPGA-based processor for SHA-2 series cryptographic algorithms. In the proposed processor, the use of memory units and multi-port data path, followed by parallel processor performance, has reduced the use of resources and increased the speed of data processing. Processor architecture for SHA-2 cryptographic algorithms is modeled in VHDL and implemented on the FPGA platform in the Virtex series by ISE software. Implementation results show that the proposed compact processor compared to previous tasks with similar objectives, was able to increase the operating frequency for the SHA-256 cryptographic algorithm by 25% and occupy 55% less space for the SHA-512 cryptographic algorithm to the desired level of operational power and efficiency. Also maintain. The proposed processor is suitable for applications such as trusted mobile platforms (TMP), digital currency (Bitcoin) and secure on-chip network routing (NoC). Manuscript profile
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  3 - Investigating the Effect of Hardware Parameters Adjustments on Energy Consumption in Thin Matrix Multiplication Algorithm on GPUs
  mina ashouri Farshad Khunjush
  20.1001.1.27170411.1396.9.31.7.8
  Multiplication of thin algorithmic matrices is a simple but very important part of linear and scientific algebra programs in mathematics and physics, and due to its parallel nature, GPUs are one of the most suitable and important options. To select its executive platfor More

  Multiplication of thin algorithmic matrices is a simple but very important part of linear and scientific algebra programs in mathematics and physics, and due to its parallel nature, GPUs are one of the most suitable and important options. To select its executive platform. In recent years, due to the emphasis of researchers to consider energy consumption as one of the main design goals along with efficiency, very little effort has been made to improve the energy consumption of this algorithm on the GPU. In this article, this issue is addressed from the perspective of energy efficiency in efficiency obtained. Utilizing the configuration capability introduced in modern GPUs, by statistically examining the behavior of this algorithm when using different thin matrix storage formats and different hardware settings for more than 200 matrices Slim example, the best configuration settings for the thin matrix multiplication algorithm with different storage formats on the GPU are obtained. This configuration for each storage format is selected to give the best configuration in all samples tested. Manuscript profile