NAME: - Parag Rao COURSE: -EE295 TOPIC: - 5 page report SJSUID: -008932014 LOW POWER FPGA Power

IoT developers are increasingly demanding embedded solutions that extend battery life without sacrificing performance. Therefore, PSoC 6 has been purpose-built on a dual-core ARM® Cortex®-M4 and ARM Cortex-M0+ architecture

Nowadays, the major limitations on computation performance are memory access latencies and power consumption. Due to memory access latency, for instance, the recently achieved CPU clock frequency of 5.7 GHz must be constraint to the maximum access speed of off-chip

The aim of algorithm C is to find such an optimum for reduced power consumption. To reduce complexity, we will only try to find to minimize the dynamic power dissipated as a result of the computation.

CMOS technology is very near to its scaling limit. Using the VLSI technology, in the recent past, researchers are facing some limitations, from practical point of view, in the approaches of CMOS technology like the short

Gate Diffusion Input (GDI) logic is a low power Very Large Scale Integrated (VLSI) design technique which was introduced as an alternative to CMOS logic design. This technique is a two transistor implementation of complex logic functions; Logic functions can be designed with fewer gates. GDI provides in cell swing restoration when operated in certain conditions and use of restoration buffers. Digital circuits designed using GDI logic will have less power consumption occupy a minimum area, gate count and delay in the circuit is reduced. Because of fewer gates, there is less design complexity.GDI cell is as shown in the below figure 2.1

The proposed algorithm takes n cores of different SOCs and grouped them together in different configuration of TAM width like n, 2n, 4n bit. The proposed

The mote’s size makes energy management a key component. The circuit will contain circuits, a temperature sensor, and A/D converter, microprocessor, SRAM, communications circuits, and power control circuits. Sensors work together with the IC, which will operate from a power source integrated with the platform.

Project A: Server CPU 0.13 micron processing project. By shrinking the die size to 0.13 micron, AMD will be able to offer server CPU chips with lower power consumption and heat generation, meaning faster CPUs.

After reading Hefty hardware case study, I came up with the following analysis for this case:

Aziz and M. D. Pham [4] proposed a designing of LDPC decoders utilizing a collection of high level modeling tools in this paper. The Coding Gain, Throughput and Power Dissipation are the advantages of LDPC codes. The disadvantages of the LDPC decoder using traditional HDL based approach are the complexity of hardware implementation, time consuming and difficult to meet the real time requirements of communication systems. The programmable logic design beginning from high level modeling to FPGA implementation in all the ways is upheld in this new methodology. The methodology has been used to outline and actualize delegate LDPC decoders. The validity and productivity of the novel advanced level design approach is demonstrated by constituting the simulation and implementation results in this

AMD and Intel both face tremendous economies of scale. The cost of building the first chip of a new design may in the billions of dollars, if one includes the cost of building the manufacturing facility, and the research and development costs. However, the more chips that are produced of a given design, the lower the average cost.

Moreover, the customers will never feel satisfaction with buying the same or few types of microprocessors. In order to satisfy various demands, Intel always spend huge amount and put a lot of efforts into their R&D department which makes Intel is able to introduce new products before its competitors. Consequently, Intel can provide the choices to the demand from high-end product with high price and the low-end demand with lower price.

from a book, handout, another student. I am aware that it is a breach of UEL

Differing by the way the 1st level branch history information is maintained in BHT, i.e., global (G) or on per-address (P) basis, and the way the 2nd level PHTs are associated with the BHT, i.e., global (g) or on per-address basis (p), Yeh and Patt [18] have presented three variations of the Two-Level Adaptive Branch Prediction schemes. These schemes are identified as GAg, PAg and PAp, embedded A being signifying ‘Adaptive’ and GAp being the Correlating Branch Predictor. Considering the addresses that contains branch instructions partitioned into sets (represented by S in the 1st level and by s in the 2nd level), the Two-Level Adaptive Branch Prediction scheme yiels nine possible variations, as listed below in the Table-1:

4. Performance Comparison of Dual Core Processors Using Multiprogrammed and Multithreaded Benchmarks ............................................................................................... 31 4.1 Overview ........................................................................................................... 31 4.2 Methodology ..................................................................................................... 31 Multiprogrammed Workload Measurements .................................................... 33 4.3 4.4 Multithreaded Program Behavior ..................................................................... 36 5. 6. Related Work ............................................................................................................ 39 Conclusion ................................................................................................................ 41