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Posts Tagged ‘Sony’

Conference Features “The Year of Stacked Memory” in 2015

Thursday, December 17th, 2015

By Jeff Dorsch, Contributing Editor

The theme of this year’s 3D Architectures for Semiconductor Integration and Packading (3D ASIP) conference is “The Year of Stacked Memory,” noting how memory die stacked in one package are becoming more commonplace in 2015.

Put on by RTI International, the 3D ASIP conference is in its 12th year. Attendees and presenters are generally people involved in chip packaging, from academia and industry.

One presentation on Wednesday (December 16) was by Teruo Hirayama of Sony, which has a long history of developing CMOS image sensors, dating back to 1998 with the graphics synthesizer for the PlayStation 2 video-game console, employing embedded DRAMs.

Embedded DRAMs present a number of manufacturing challenges, such as requiring four photomasks at the time, compared with three masks for commodity DRAMs and two or so masks for “pure logic” chips, Hirayama noted.

To address the issue, Sony turned to “chip-on-chip” technology, combining the merits of system-on-a-chip devices and system-in-package technology, according to Hirayama. The chipmaker later resorted to stacked CMOS image sensors, which offer a cost advantage over conventional CMOS image sensors.

During fiscal 2014, stacked CMOS image sensors accounted for 64 percent of Sony’s CMOS image sensor shipments, with back-illuminated image sensors representing 31 percent and front-illuminated image sensors 5 percent, Hirayama reported.

For future directions in stacked image sensors, Hirayama pointed to connecting pixels to analog-to-digital converters, with a device that has memory, a microelectromechanical system device, and a radio-frequency chip on the bottom layer, topped with a logic device, the ADC, and pixels, in that order.

The conference also heard Wednesday from Bryan Black of Advanced Micro Devices, a senior AMD fellow who spearheaded development of the company’s Fiji graphics processing unit.

The project started in 2007 and took 8.5 years to complete, Black said. “The industry needed a new memory system,” he commented. “We ended up with a die-stacking solution.”

Virtual prototyping was employed along the way, according to Black.

With a silicon interposer measuring 1,011 square millimeters and an ASIC coming in at 592 square millimeters, with four high-bandwidth memories, the Fiji GPU module is a big device. “We realized the part was going to be much bigger than we expected,” Black recalled. “Then we realized this thing would be huge.”

Wrapping up on Wednesday, the conference also heard presentations by three suppliers of semiconductor production equipment – EV GroupSPTS Technologies, and Rudolph Technologies.

RF and MEMS Technologies to Enable the IoT

Friday, October 24th, 2014

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By Ed Korczynski, Sr. Technical Editor, Solid State Technology and SemiMD

The “Internet of Things” (IoT) has been seen as the next major market that will demand high volumes of integrated circuits (IC). The IoT can be loosely defined as a network of small, low-cost, ubiquitous electronic devices where sensing data and communicating information occurs without direct human intervention. Each device would function as a “smart node” in the network by doing some low-level signal processing to filter signals from noise, and to reduce the bandwidth needed for node-to-node communications. The nodes will need to communicate up to some manner of a “cloud” for secure memory storage and to bounce actionable information down to humans.

Figure 1 shows a conservative forecast of the global IoT market that was recently published by IDC. IDC expects the worldwide IoT installed base to experience a compound annual growth rate (CAGR) of 17.5% from 2013 to 2020, starting from 9.1 billion smart nodes installed at the end of 2013 and growing to 28.1 billion units by 2020.

FIGURE 1: Forecast for global IoT applications revenue 2013-2020. Note that smart node “intelligent systems/devices” provide the foundation for this huge growing market. (Source: IDC)

Due to the anticipated elastic-demand for IoT devices that would come from cost reductions, the forecasts for the number of IoT nodes ranges to 50 billion or even 80 billion by the year 2020, as documented in the recent online Pete’s Post “Don’t Hack My Light Bulb, Bro”. The post also provides an excellent overview of recent discussions regarding the host of additional technology and business challenges associated with the enterprise infrastructure and security issues surrounding the integration of vast streams of new information.

As shown in Figure 1, the smart nodes form the foundation for the whole IoT. Consequently, the world will need low-cost high-volume manufacturing (HVM) technologies to create the different functionalites needed for smart nodes. Sensor- and logic-technologies to enable IoT smart nodes will generally evolve from existing IC applications, while R&D continues in Radio Frequency (RF) communications and in Micro Electro-Mechanical Systems (MEMS) energy harvesting.

RF Technology

IoT smart-nodes will use wireless RF technologies to communicate between themselves and with the “cloud.” In support of rapid growth in the 71-86 GHz RF “E-band” telecom backhaul segment—which transports data from cell sites in the peripheral radio access network (RAN) to the wireless packet core—Presto Engineering recently announced a non-captive production-scale testing service for 50µm-thin gallium arsenide wafers.

Silicon-On-Insulator (SOI) substrate supplier Soitec has excellent perspective on the global market for RF chips, since it’s High-Resistivity SOI (HR-SOI) wafers are widely used in commercial fabs. Bernard Aspar, senior vice president and general manager of the Communications and Power business unit of Soitec, explained to SemiMD in an exclusive interview why the market for RF chips is growing rapdily. RF front-end module unit sales are forecasted to increase at a CAGR of ~16% over the period of 2013-2017, while the area of silicon needing to be delivered could actually increase at ~30% CAGR. RF chips are increasing in average size due to the need to integrate multiple standards for wireless communications and multiple antenna switches. “The first components to be integrated in silicon were the antenna switches, moving from 70% on GaAs in 2010 to more than 80% on SOI in 2014,“ said Aspar.

Soitec claims that >80% of smart-phones today use an RF chip built on a wafer from the company, based on sales last year of >300k 200mm HR-SOI wafers. Due to anticipated future growth in RF demand, the company has plans to eventually move HR-SOI production to 300mm diameter wafers. Most of the anticipated demand will be for the company’s new variant of HR-SOI called eSI (“enhanced Signal Integrity”previously called “Trap Rich”) with a measured effective resistivity as high as 10 kOhm-cm for improved device performance.

This high-resistivity characteristic, which is conserved after a full CMOS process, translates to very low RF insertion loss (< 0.15 dB/mm at 1 GHz) and purely capacitive crosstalk similar to quartz substrates. HR-SOI substrates in general demonstrate reduced harmonics compared with standard SOI substrates, and the eSI wafers reduce harmonics to the point that they can be considered as lossless. Soitec was recently given a Best Partnership Award by Sony Semiconductor for supplying RF substrates.

“We’re also adding value to the substrate because it allows for simplification of the fab processing,” said Aspar. The eSI wafers enable much higher linearity and isolation, helping designers to address some of the most advanced LTE requirements at competitive costs. These substrates also provides benefits for the integration of passives, such as the quality factor of spiral inductors or tunable MEMS capacitors.

Vibrational Energy Harvesting

IoT smart nodes will need electrical power to function, and batteries that must be replaced or charged by an external source create issues for ubiquitous always-on small devices. In principle the ambient energies of the environment can be harvested to power smart nodes, and to do so we may consider using thermoelectric, photovoltaic, and piezoelectric properties of thin-films. Thermoelectric and photovoltaic devices both require somewhat specialized ambients for efficient energy harvesting, while piezoelectric devices can extract energy from subtle vibrations almost anywhere in the world (Fig. 2).

FIGURE 2: Schematic cross-section of piezoelectric cantilever with end mass, depicted in connection to an energy-harvesting circuit. (Source: Science)

Researchers in the Energy Harvesting and Mechatronics Research Lab at Stony Brook University, New York, recently published an excellent overview of the potential for 1 W to 100 kW piezoelectronic energy harvesting in building, automobiles, and wearables electronics in the Journal of Intelligent Material Systems and Structures 24(11) 1405-1430. However, the largest forecasted growth in the IoT is for small devices that would consume µW to mW of active power.

For low-cost and low-power consumption, the logic chips for IoT smart nodes are expected to be made using a 65nm “trailing edge” fab process. For example, CAST Inc. has developed a 32-bit BA20 embedded processor core that can deliver 3.41 CoreMarks/MHz at a maximum frequency of 75 MHz. Using TSMC’s 65nm Low Power fab process, it occupies only 0.01 mm2 of silicon area while consuming 2 µW/MHz. Thus, at maximum speed the chip core would consume just 150µW.

MicroGen Systems, Inc. (MicroGen) is a privately held company developing thin piezoelectric energy harvesters, based on technology from Cornell University’s NanoScale Science and Technology Facility. Founded in 2007, MicroGen has headquarters and R&D in the Ithaca and Rochester, NY areas, and volume manufacturing with X-FAB in Itzehoe, Germany. Figure 3 shows one of the company’s ~100 mm2 area chips featuring an aluminum nitride (AlN) peizoelectric thin-film on a cantilever that produces alternating current (AC) electricity in response to external vibrations. Different cantilever designs allow for harvesting energy from either single-frequency or broadband vibrations. At resonance the AC power output is maximized, so it can be ~100 µW at 120Hz and 0.1g, or ~900 µW at 600Hz and 0.5g.

FIGURE 3: BOLT™-R0600 energy-harvesting chip without packaging. The green-silver trapezoidal area is a 25-100µm thick cantilever (with several thin-film layers including an AlN piezoelectric) attached to grey rectangular end mass (silicon). A fixed-frequency device, at resonance of ~600Hz it can produce ~900 µWatts of AC power. (Source: MicroGen Systems)

For any piezoelectric energy harvester there are basic materials properties that must be optimized, including the piezoelectric strain constant as well as the electromechanical coupling factor of the thin-film to the moving mass. Lead-zirconium-titanate (PZT) has been the most studied piezoelectric thin-film due to high strain constant and ability to couple to a substrate though the use of buffer layers.

S. H. Baek, et al. showed “Piezoelectric MEMS with Giant Piezo Actuation” in Science 18 November 2011, Vol 344 using lead-manganese-niobate with lead-titanate (PMN-PT) layers epitaxially grown on a strontium-titanate (STO) buffer layer over 4°-off-axis(001)Si. Figure 4 shows both the transverse piezoelectric coefficient (C/m2) and the energy-harvesting figure of merit (GPa) for this and other thin-films. Note that to acheive stable “giant” piezoelectric effects the PMN-PT layer had to be grown epitaxially with precise control over the STO grain orientation.

FIGURE 4: Transverse piezoelectric coefficient (C/m2) and the energy-harvesting figure of merit (GPa) for PMN-PT (“this work”) and other piezoelectric thin-films. (Source: Science)

—E.K.