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"Leading the intelligent management"

Ease of use, integration processes, increase efficiency, cost redution

ERP advantages at a glimpse:

  1. Aggregation of process and data in a system
  2. Coverage of the whole organizational processes
  3. Reduction of warehouse costs
  4. Reduction of orders /production costs
  5. Reduction of financial operations costs
  6. Reduction of transportation costs
  7. Reduction of investment amount
  8. Reduction of the costs incurred from stoppage of production line
  9. Reduction of costs resulted from errors of weak coordination between different departments
  10. Reduction of the time required for completion and finalization of product
  11. Increase of clarity and tracking of production processes for customers
  12. Increase of right sizing ability for customers
 

Knowledge Management

Knowledge management is the systematic management of an organization's knowledge assets for the purpose of creating value and meeting tactical & strategic requirements; it consists of the initiatives, processes, strategies, and systems that sustain and enhance the storage, assessment, sharing, refinement, and creation of knowledge.
Knowledge management (KM) therefore implies a strong tie to organizational goals and strategy, and it involves the management of knowledge that is useful for some purpose and which creates value for the organization.
 

Risk Management

Risk management is the process of identifying, assessing and controlling threats to an organization's capital and earnings. These threats, or risks, could stem from a wide variety of sources, including financial uncertainty, legal liabilities, strategic management errors, accidents and natural disasters. IT security threats and data-related risks, and the risk management strategies to alleviate them, have become a top priority for digitized companies. As a result, a risk management plan increasingly includes companies' processes for identifying and controlling threats to its digital assets, including proprietary corporate data, a customer's personally identifiable information and intellectual property.
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Taking BMX Bikes To
New Levels

Dashboard Management

In the current challenging economy and commerce, organizations endeavor to get ahead of their competitors for correct codification of strategies, fruitful activities and customer .For managers, the vital point is to make rapid decisions based on comprehensive and correct information. Dashboard provides relevant persons with management of a vast collection of management processes analyses
 
 
 
 

AMD unveiled a great deal of information at Hot Chips about its upcoming “Zen” CPU core and architecture. The new chip has been the subject of an enormous amount of speculation for more than a year, but things have heated up over the past few weeks asleaked benchmarks surfaced and AMD conducted its own public test.

Today’s information dump is the most detail AMD has shared to date — in fact, it’s significantly more information than I expected the company to share until Zen actually launched. Let’s get started.

Zen’s design goals

Zen is best understood as a response to the problems that plagued Bulldozer. AMD’soriginal goal with that architecture was to intelligently share resources between CPU cores, while simultaneously hitting higher frequencies and higher execution efficiencies than AMD’s previous CPU core, K10. Bulldozer’s failure to deliver left AMD in an ugly position: Should it try to repair its old core or return to the drawing board and build something completely new?

Sources we’ve spoken to at AMD suggest that the difficulty of repairing Bulldozer was significant enough that AMD opted to build a new core from scratch with none of Bulldozer’s baggage. That doesn’t mean there’s no Bulldozer DNA in Zen — in fact, AMD has stated that the expertise it gained from improving Steamroller and Excavator’s energy efficiency was put to good use for its newest architecture. Say instead that what design elements AMD does borrow from its previous architectures will be the components of the chip that actually worked well rather than the problematic ones that dominated its performance.

Cache architecture

Much of what went wrong with Bulldozer was linked to its cache subsystem and overall architecture, so that’s a good place to start diving into Zen.

CPU-Complex

Where Bulldozer used the concept of a CPU module (defined as a pair of cores that shared resources), Zen uses complexes. One CPU complex (CCX) contains four cores, 2MB of L2 cache (512KB per core), and 8MB of L3 cache. That means AMD’s highest-end consumer Zen contains eight cores and 16MB of L3 cache in total, split into 2x8MB chunks. AMD has stated that the two CCXs on an eight-core chip can communicate with each other via the on-chip fabric, though there’s likely a performance penalty for doing so.

Zen’s L3 cache operates as a victim cache for the L1 and L2, meaning data evicted from those caches is stored in the L3 instead. It’s also 16-way associative, which is a significant change from Bulldozer’s 64-way associative L3. A cache with a higher set associativity has a greater likelihood of containing the information the CPU is looking for, but takes longer to search — and one of the issues that crippled Bulldozer was its cache latency at nearly every stage.

We don’t know anything about clock speeds on either the L3 cache or the integrated memory controller. Historically, AMD’s Bulldozer-derived CPUs and APUs have used a clock between 1.8 – 2.2GHz for the L3 cache and IMC.

ZenCache

AMD has stated that L1 and L2 bandwidth is nearly 2x Excavator while L3 bandwidth is supposedly 5x higher. These changes should keep the core fed and support higher performance. The L1 cache is write-back instead of write-through — that’s a significant change that should improve performance and reduce cache contention (Bulldozer’s write-through cache meant that L1 performance could be constrained by L2 cache write speed in some cases).

The CPU core

We’ve already tackled caches, so let’s check out the CPU core itself.

Zenuarch

Here’s Zen’s high-level core diagram. There are several significant differences compared with AMD’s older Bulldozer core, including the addition of an op cache, a micro-op queue, and a larger number of integer pipelines per core.

Zen-Queue

Here’s an expanded view of how the core gets fed. This was another major problem area with Bulldozer — Bulldozer and Piledriver’s shared logic meant that the dispatch unit could only send work to one core or the other every clock cycle. Steamroller later fixed this issue by doubling up dispatch units, but this only resulted in a modest performance improvement.

AMD has taken a page from Intel’s book and implemented an op cache with Zen, even if we don’t know much about the specifics of the feature. This allows the CPU to cache decoded operations that it may need to dispatch repeatedly rather than requiring it to repeatedly decode and dispatch the same instructions. Each Zen core can decode four instructions per clock cycle, but the micro-op queue can dispatch six instructions per cycle. Clearly AMD anticipates that its cache will relieve pressure on the decode units and help keep the core fed while reducing power consumption. Steamroller had a macro-op queue that could hold up to 40 macro-ops but its usefulness was limited to tiny loops.

Zen-Fetch

Like the Bulldozer family, Zen can theoretically fetch 32 bytes of data at a time, though CPU analyst Agner Fog found that the Bulldozer family of cores was practically limited to 21 bytes of data when both cores were in use or 16 bytes if one core was used. He theorized that this limit may have been why doubling up on Steamroller’s dispatch units yielded relatively limited results. Resolving this in Zen could be part of why AMD has significantly improved its IPC.

Zen-Integer

The integer cores have been rebalanced from the Bulldozer family. Prior to Bulldozer, AMD’s K10 paired three ALUs with three AGUs (address generation units). Bulldozer trimmed this to two ALUs and two AGUs per core. This, combined with the limited dispatch ability in the BD/PD cores, was thought to be a major performance bottleneck until Steamroller added additional dispatch capabilities and slashed the penalty Kaveri took when scaling across multiple cores. (Piledriver and Bulldozer achieved roughly 1.8x of the scaling you’d expect from a “true” dual-core, while Steamroller hit approximately 1.9x.) Four ALUs and two AGUs could boost overall performance compared with Bulldozer’s narrow design, but we’ll have to see how the chip performs in benchmarks.

FloatingPoint-Zen

AMD’s floating point unit will still use 128-bit registers for AVX and AVX2, but latency on some FP operations has been decreased and there are now four pipes instead of three to feed the FPU. The CPU isn’t capable of executing 256-bit AVX instructions in a single cycle. Whether this will prove a detriment in real-world code is an open question, but AVX/AVX2 haven’t boosted general application performance the way SSE2 once did.

 

Scope

The Company tries to develop specialized software and solutions in the realms of industry and service and intends to obtain the major market share in the realm of customized industrial systems.

Purposes and Missions

        

  • To satisfy customers' needs through render of high quality products and full adherence to commitments
  • To lead domestic companies, organizations and industries to use modern technologies for the purpose of boosting their abilities of agility and sustainability
  • To furnish integrated views in the realm of IT for industries
  • Incessant update and increase of the personnel's knowledge

 

 

Competitive Advantages

        

    To benefit from global standards; Competitive with superb products at global level Experience and knowledge of business in Software and Hardware. The products are 100 percent Iranian-possessed. To benefit from technical and expertise knowledge in the realms of production and industrial processes.To use state of the art technologies. Conformity of software with intelligent cell phone devices. Possibility of connection and integration of the System with other information systems.

 

?Why NADIN

In using software systems, the major challenge of organizations and industries in IRAN
is nonconformity of prepared software (typical software packages)
 with intra and extra organizational process and industries.
 The most important competitive advantage of the Company for Iranian industries
is that the software is customarily prepared with the state of the art technology and standards in addition of

providing  suitable Hardware

 

 

 

 

 

Specialized Systems of NADIN:


Design and implementation of customized systems (Master Production Schedule/MPS)
Calculating the machine capacity and stops as well as production bottlenecks
Design and implementation of customized systems for material requirement planning
Computing reserve storage, optimum time and amount of order point etc.
Automatic registration of orders for business department
Design and implementation of production operation systems
Balance reports
Consumption control reports
Line feeding reports
Process control and wastes report (PPM etc.)
Production efficiency reports (machine, station, manpower)
Tracing the products and materials in production line
The possibility of using barcode and RFID in tracing of products

 

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