1 Singapore Dollar = 8.5965 Botswana Pula

1 Singapore Dollar = 4.0577 Brazilian Real

1 Singapore Dollar = 4.8812 Bolivian Boliviano

1 Singapore Dollar = 1.0004 Brunei Dollar

1 Singapore Dollar = 0.2677 Bahraini Dinar

1 Singapore Dollar = 1.278 Bulgarian Lev

1 Singapore Dollar = 60.1646 Bangladeshi Taka

1 Singapore Dollar = 1.0833 Australian Dollar

1 Singapore Dollar = 47.0537 Argentine Peso

1 Singapore Dollar = 1.2708 Netherlands Antillean Guilder

1 Singapore Dollar = 2.6001 United Arab Emirates Dirham

1 Mauritian Rupee = 0.0356 Singapore Dollar

1 Nepalese Rupee = 0.0117 Singapore Dollar

1 Bangladeshi Taka = 0.0166 Singapore Dollar

1 Moldovan Leu = 0.0792 Singapore Dollar

1 Colombian Peso = 0.0004 Singapore Dollar

1 Uruguayan Peso = 0.0327 Singapore Dollar

1 Uzbekistan Som = 0.0001 Singapore Dollar

1 Russian Ruble = 0.0192 Singapore Dollar

1 Iraqi Dinar = 0.0012 Singapore Dollar

1 Cayman Islands Dollar = 1.6948 Singapore Dollar

1 Swiss Franc = 1.4549 Singapore Dollar

1 CFA Franc BCEAO = 0.0023 Singapore Dollar

1 Vietnamese Dong = 0.0001 Singapore Dollar

1 Macedonian Denar = 0.0249 Singapore Dollar

1 Zambian Kwacha = 0.0003 Singapore Dollar

1 South Korean Won = 0.0012 Singapore Dollar

1 Jordanian Dinar = 1.9911 Singapore Dollar

1 Lebanese Pound = 0.0009 Singapore Dollar

1 Bahraini Dinar = 3.7355 Singapore Dollar

1 Chilean Peso = 0.0017 Singapore Dollar

1 Maldivian Rufiyaa = 0.0911 Singapore Dollar

1 Malaysian Ringgit = 0.326 Singapore Dollar

1 Nicaraguan Cordoba Oro = 0.0411 Singapore Dollar

1 Netherlands Antillean Guilder = 0.7869 Singapore Dollar

1 Estonian Kroon = 0.0991 Singapore Dollar

1 Danish Krone = 0.2053 Singapore Dollar

1 Fiji Dollar = 0.627 Singapore Dollar

1 New Zealand Dollar = 0.8671 Singapore Dollar

1 Croatian Kuna = 0.2036 Singapore Dollar

1 Peruvian Nuevo Sol = 0.4156 Singapore Dollar

1 Dominican Peso = 0.0257 Singapore Dollar

1 Papua New Guinean Kina = 0.4118 Singapore Dollar

1 Brunei Dollar = 0.9996 Singapore Dollar

Modern systems-on-a-chip (SoCs) continue to increase in complexity, adding more components and calculation power to accommodate new performance-hungry applications such as machine learning and autonomous driving.  With increased number of SoC components, such as CPUs, GPUs, accelerators and I/O devices, comes increased demand to correctly model interoperability of various components. Traditional simulation of complex systems requires accurate models of all components comprising the system and normally results in very long simulation times. A better way is to create a set of typical traffic profiles which describe behavior of system’s masters and slaves. Such profiles should be abstract to be applied to various protocols and interfaces and be portable to be applied throughout different SoC design and verification cycles.

To address the challenges outlined above, Arm has recently announced availability of the AMBA® Adaptive Traffic Profiles (AMBA ATP) specification which lays foundation of a new synthetic traffic framework. The AMBA ATP specification includes detailed information of various transaction types and timing characteristics of those transactions. The traffic profiles defined in the specification are abstract in nature and thus could be used to generate stimuli for various standard AMBA protocols and in various environments such as RTL-based simulation, FPGA prototyping and final SoC verification. The traffic profiles outlined in the specification include a set of parameters to define timing relationships between transactions as well as timing relationships within individual transactions. Even though the traffic profile represents the behavior of a single agent it could be applied either in a concurrent manner (e.g. write and read traffic profiles running in parallel) or in a sequential manner (e.g. when one traffic completes before the next one start). Moreover, when simulating a reasonably complex system, it is possible to coordinate traffic profiles generated by multiple components. While providing abstract definition of traffic profiles, the AMBA ATP specification focuses on the use of traffic profiles with an AMBA AXI interface, outlining signaling, timing relationships between different transaction phases and between different transactions. The same application principles could be used to map the abstract traffic profiles to other AMBA protocols such as AMBA5 CHI protocol.  

To facilitate adoption of the AMBA Adaptive Traffic Profiles, Cadence has recently announced availability of SystemVerilog UVM ATP Sequence Layer which automatically implements mapping of an abstract ATP traffic to AMBA protocol specific traffic, generated by Cadence AMBA Verification IP. The ATP layer is implemented as a SystemVerilog UVM virtual sequence with the sequence item including all ATP transaction parameters as defined in the specification.

Using the provided sequence infrastructure, users can write tests to define and coordinate traffic profiles for various components in the system. The ATP Layer automatically converts the abstract traffic profile into AMBA protocol-specific traffic, e.g., AMBA5 CHI protocol traffic.

 A sample code below, shows an example of a read profile translated by Cadence ACE Verification IP in ACE protocol traffic.

   `uvm_do_with(ace_atp_vseq,                                            

                       {ace_atp_vseq.agentId == agent_id;                                // ATP agent id

                        ace_atp_vseq.atpDirection == ATP_READ;                    // direction of bursts issued by virtual sequence

                        ace_atp_vseq.startAddress == start_address;                // start of address range being accessed

                        ace_atp_vseq.endAddress == end_address;                  // end of address range being accessed

                        ace_atp_vseq.atpDomain == atp_domain;                      // domain to use for transactions

                        ace_atp_vseq.addressPattern == ATP_SEQUENTIAL;  // address pattern

                        ace_atp_vseq.transactionSize == 64;                             // number of bytes in each burst

                        ace_atp_vseq.dataSize == 4;                                          // number of bytes in each transfer

                        ace_atp_vseq.rate == 150.0/(50.0);                                // requestedBandwidth / clkFrequency

                        ace_atp_vseq.start == ATP_EMPTY;                              // start condition of the ATP FIFO

                        ace_atp_vseq.full == 128;                                               // full level of the ATP FIFO

                        ace_atp_vseq.numOfTransactions == 500;                    // number of bursts issued by this sequence

                        ace_atp_vseq.ARTV == 2;                                              // sub-transaction delay

                        ace_atp_vseq.RBR == 3;                                                // sub-transaction delay

                       });

In addition to the ATP Layer for Cadence Simulation-Based AMBA Verification IP, Cadence supports the ATP functionality in Acceleration-Based AMBA Verification IP. For detailed information about ATP support in Cadence Simulation-Based and Acceleration-Based Verification IP, visit ip.cadence.com.

Hello, my name is Hsukang. I want to use Liberate to create a .lib file for the following circuit. This is a scan FF with two separate outputs.   The question is that no matter how I described its function, the synthesis tool said its a manformed scan FF.  Has anyone ever encountered anything like this？How should I describe the function correctly？I found that almost standard flip-flop cells are with only one output Q or have Qn at the same time. Does Liberate support scan flip-flop cells with two separate outputs ？

Thanks.

Did you check out the new Pnoise and Hbnoise Choosing Analyses forms in the MMSIM 15.1 and IC6.1.7 /ICADV12.2 releases? These forms have been significantly improved and simplified. The Direct Plot Form has also been enhanced and is much easy to use....(read more)

Hi,

I am trying to use "sed -e 's " from SKILL code to edit unix file "FileA", to replace 3 words in the 2nd line.

How to run below multiple commands using  ipcBeginProcess, Should I use ipcWait or ipcCloseProcess ?

Using && to combine , will that work as I have to work serially on each command. ?

With below code only the first command gets executed. Please advise.

FileA="/user/tmp/text1.txt"

sprintf(Command1 "sed -e '2s/%s/%s/g' %s > %s" comment1 get(form concat("dComment" RDWn))->value FileA FileA)
cid = ipcBeginProcess(Command1)


sprintf(Command2 "sed -e '2s/%s/%s/g' %s > %s"  Time getCurrentTime() FileA FileA)
cid1 = ipcBeginProcess(Command2)


sprintf(Command3 "sed -e '2s/%s/%s/g' %s > %s"  comment2 get(form concat("Duser" RDWn))->value FileA FileA)
cid2 = ipcBeginProcess(Command3)

Thanks,

Ajay

I use "Degassing" function in APD. It provides the options "Even Layers" and "Odd Layers". 

My first question is that is there any additional setting to choose the specific layer? 

The second question is that  is there any way to select a range to place degassing hoe? I don't want to place holes at the whole layer.

Thanks!  

I recently attended a webinar presented by Wally Rhines about his new book, Predicting Semiconductor Business Trends After Moore's Law . Wally was the CEO of Mentor, as you probably know. Now he...

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