Entering the zettabyte era...
Every day, even every second, we produce massive amounts of data. With an estimated annual data growth rate of 1.2 to 1.4x (source: IDC’s Data Age 2025 study, March 2017), the amount of digital data produced in the world will soon exceed 100 zettabyte. To grasp the meaning of this number – we would need to fill a soccer field with terabyte solid state drives (SSDs) stacked 28 meter high if we would want to store all this data. The data are partly generated through well-known applications such as Amazon, YouTube, Facebook or Netflix. But emerging IoT applications will make a significant contribution as well. Examples are the autonomous car (accounting for 4,000GB of data per day), the smart building (>275GB per day, per building) and the smart city (>1000TB per day, per city). Huge amounts of bandwidth are required to transport all this data – from the application to an edge node, then to a base station, and then to a data center – a challenge that is tackled by 5G and optical fiber technologies. Throughout this data flow, stringent requirements will be imposed on memory and storage – in terms of density, bandwidth, cost and energy.
Clever data mining, and reduced energy consumption
At some point in the flow of data transport, the generated data will need to be analyzed and converted into knowledge and wisdom by means of machine learning techniques. The exact point at which this will happen, will significantly impact the requirements on memory and storage. For example, if machine learning can be applied just after data generation, it can help relax the requirements. If, on the other hand, data is turned into wisdom later in the process, more raw data will need to be stored throughout the whole process (read imec's article on artificial intelligence on page 4 of this magazine issue).
The zettabyte era will also challenge the power that is consumed by the growing amount of data centers, for processing, transporting and storing all the data. If we don’t optimize the energy consumption for these operations, data centers worldwide may use almost 8000 terawatt-hours by 2030 (source: https://www.labs.hpe.com/next-next/energy). That’s about the amount of electricity consumed by Europe, Africa and part of Asia today. In recent years, several technologies have been introduced in the data centers to address power and performance issues for storage, including, for example, the wide deployment of solid state drives since 2014, and the introduction of the first emerging memory technologies in 2017. But to be prepared for the zettabyte era, we will have to introduce novel non-volatile memories with unprecedented density and speed, and improved power consumption.
The slowdown of today’s memory roadmap
Let’s have a closer look at today’s memory landscape (see figure below). Close to the central processing unit (CPU), fast, volatile embedded static random access memories (SRAMs) are the dominant memories. Also on chip are the higher cache memories, mostly made in SRAM or embedded dynamic random access memory (DRAM) technologies. Off-chip, further away from the CPU, you will mainly find DRAM chips for the working memory, non-volatile Flash NAND memory chips for storage, and tapes for long-term archival applications. In general, memories located further away from the CPU are cheaper, slower, denser and less volatile.
Application and performance space of the existing conventional memories (HPC = high performance computing; DSP = digital signal processing; ROM = read only memory; duty cycle = the proportion of time during which the memory device is operated).
For half a century, Moore’s Law has driven cost improvement of memory technologies, and this has translated into a continuous increase of the memory density. However, despite large improvements in memory density, only storage density (Flash NAND devices and tapes) has truly kept pace with the data growth rate. With the transition from NAND to 3D-NAND devices, density improvement for this storage class is however expected to slow down as well, and go below the data growth rate soon.
Unlike in logic development – which has always been driven by improvements in cost and device physics – improving the power/performing benefits for memory has barely been taken care of. As a result, energy reduction and speed improvement are far from following up the data growth rate, for both memory and storage devices.
Growth rates for the main memory roadmaps; (red) only storage density has kept pace with the data growth rate
Emerging technologies to the rescue?
To meet the memory requirements of the zettabyte era (i.e., improved density and speed, and reduced energy consumption), imec is exploring multiple emerging memory options, for standalone as well as for embedded applications (figure below). Options range from MRAM technologies for cache level applications, new ways for improving DRAM devices, emerging storage class memories to fill the gap between DRAM and NAND technologies, solutions for improving 3D-NAND storage devices, and a revolutionary solution for archival type of applications. Below, we review their status and challenges, and investigate whether these emerging memory roadmaps can cope with the zettabyte world.
MRAM technologies for embedded cache level applications
Spin transfer torque MRAM (STT-MRAM) technology has emerged as a candidate technology for replacing L3 cache embedded SRAM memories. It offers non-volatility, high density, high speed and low switching current. The core element of an STT-MRAM device is a magnetic tunnel junction in which a thin dielectric layer is sandwiched between a magnetic fixed layer and a magnetic free layer. Writing of the memory cell is performed by switching the magnetization for the free magnetic layer, by means of a current that is injected perpendicular into the magnetic tunnel junction.
Because of this geometry, the read and write operations are performed through the same path, and this challenges the reliability of the device. These reliability issues in combination with increased energy at sub-ns switching speeds make STT-MRAM memories unsuitable for replacing the faster L1/L2 cache SRAM memories.
An MRAM variant, the spin orbit torque MRAM (SOT-MRAM), can overcome these issues. In these devices, switching the free magnetic layer is done by injecting an in-plane current in an adjacent SOT layer, as such de-coupling the read and write path and improving the device endurance and stability. Imec recently demonstrated the ability to fabricate state-of-the-art SOT-MRAM devices on 300mm wafers using CMOS compatible processes. The devices exhibited an unlimited endurance (>5x1010), fast switching speed (240ps), and power consumption as low as 300pJ. We also explore ways for further reducing energy consumption, by bringing down switching current and demonstrating field-free switching.
(Left) SOT-MRAM device, and (right) SOT switching distribution as a function of pulse voltage for various pulse lengths.
An imec view on DRAM scaling
DRAM is structurally a very simple type of memory. A DRAM memory cell consists of one transistor and one capacitor, that can be either charged or discharged. Traditionally, double-sided cylindrical capacitor structures have been used, with a dielectric material contained inside as well as outside the capacitor structure. However, when spacing becomes smaller, we need to increase the aspect ratio of these structures – since a certain amount of capacitor area is needed to maintain the memory’s performance. For very large aspect ratios, these DRAM structures are fabricated at the limits of mechanical stability. The industry may therefore transition to a new capacitor architecture: the high-aspect ratio one-pillar architecture, with the dielectric film now only on the outside. This change may make it possible to use thicker films of higher-k dielectrics, which in turn will allow reducing the aspect ratio of the one-pillar structure and improving leakage. A new dielectric with these specifications is currently under development at imec.
Further down the road, we are investigating if we can place the peripherical logic directly under the array of capacitors and transistors. This logic circuitry controls how data is moved to and from the memory chip, and typically consumes considerable area. Today, the transistor of the DRAM memory cell is however built on silicon. To be able to move the peri logic underneath the DRAM array, we need to replace this transistor with a non-Si transistor that is back-end compatible. At imec, we are moving towards a thin-film indium gallium zinc oxide (IGZO)-based transistor (see figure below). This architecture is expected to give us one generation of Moore’s law scaling. In addition, it will enable ultimate 3D DRAM integration as well.
Emerging memory and selector concepts for storage class memory
Storage class memory has been introduced to fill the gap between DRAM and NAND Flash memories in terms of latency, density, cost and performance. This new memory class should allow massive amounts of data to be accessed in a very short time. Most probably, more than one novel memory technology will be required to span the entire gap. The imec team explores several emerging technologies for storage class memory, including various cross-point-based architectures for the memory element, such as phase-change-RAM (PC-RAM), vacancy-modulated conductive oxide (VMCO), conductive bridging RAM (CB-RAM) and oxide RAM (OxRAM). When it comes to high-density applications, all these memory elements require two-terminal selector elements that connect serially with each of the memory elements. These selector elements suppress the sneak currents that run through the unselected cells in the cross-point array during memory operation. Imec is developing GeSe-based ovonic threshold switching (OTS) selector devices that fulfill the requirements imposed by high-density storage class memories, including high thermal and electrical stability, high current density and low off-state current.
Close to the DRAM side of the DRAM-NAND gap, high-density, high-speed MRAM offers an interesting, scalable alternative for the memory element. As this technology requires a selector as well, imec is working on a diode-based selector for this type of device. And finally, closer to the NAND Flash side, a ferroelectric memory based on hafnium-oxide (HfO) has gained interest. Compared to NAND-Flash, this emerging memory can operate at lower voltages and is much faster (with speeds down to 100ns). The easy cell structure can be fabricated with CMOS compatible processes and can be built in a 3D architecture.
3D NAND... and beyond?
Since its introduction several years ago, 3D NAND has become a mainstream storage technology because of its ability to significantly increase bit density. This is enabled by transitioning from 3 bits per cell to 4 bits per cell. And, instead of traditional x-y scaling in a horizontal plane, 3D NAND scales in the z direction by stacking multiple layers of NAND gates vertically. Today, stacking over 60 layers has become possible. However, increasing the numbers of layers challenges the deposition and etch processes. Also, the more layers that are stacked, the more stress evolves inside the layers, and this can cause a collapse of the 3D NAND pattern – a challenge that is tackled by imec. Imec also investigates alternative channel materials and processes – such as a silicon macaroni channel – that can overcome the limitations of the traditionally used poly-Si channels.
Despite all these advances, the density improvement of 3D NAND is expected to slow down and go below data growth rate soon. Therefore, the search for an emerging memory technology that is faster and cheaper than 3D NAND is ongoing. So far, there are no good candidates out there that can beat the 3D NAND density, especially because of the outstanding capability of 3D NAND Flash technology to integrate 3-4 bits per cell.
DNA storage: the holy grail of archival storage?
Imagine that we could store all data of the world in a container the size of a car, and store them for a very long time? That is exactly what DNA storage promises. DNA can be kept stable for millions of years – today, it is still possible to extract DNA from the woolly mammoth – guaranteeing long term retention. DNA as a medium for storage is also extremely dense and compact. Writing can be performed by encoding binary data onto strands of DNA through the process of DNA synthesis. The DNA strand can be built up with the base pairs representing a specific letter sequence, through a series of deprotection and protection reactions. As from the read side, there is an enormous technology push to sequence DNA faster and faster and at lower cost. Progress in DNA sequencing has been amazing, even outpacing Moore’s law. But researchers still have a long way to go before reasonable targets (1Gb/s) can be reached. To realize this, faster fluidics, faster chemical reactions and much higher parallelism are needed than what’s possible today. At imec, we work towards faster write/read operation, and towards making DNA storage a cost-effective solution for long-term storage.
Towards a sustainable zettabyte era
It has become clear that the classical memory roadmap cannot handle the zettabyte world in terms of energy, density, speed and cost. As shown above, imec is working on several emerging memory and storage technologies that can largely improve on density, system performance, and, partly, speed. However, energy consumption remains the biggest challenge towards a truly sustainable zettabyte era. And this highlights the need to continue collaborating with academia and industry on reduced energy consumption for memory technologies.
Talking about sustainability brings another aspect of the zettabyte era to mind: recycling. To be able to process and store all the data, massive amounts of devices will be produced. The advent of emerging technologies will also bring in new materials, which today are hardly recycled. To enable a truly sustainable zettabyte era, the semiconductor industry should therefore also find ways to improve the recyclability of all these materials.
Want to know more?
- ‘Imec demonstrates manufacturability of state-of-the-art spin-orbit torque MRAM devices on 300mm Si wafers’, press release
- ‘In pursuit of high-density storage class memory’, imec magazine
- ‘Towards improved data retention in OxRRAM memory devices’, imec magazine
- ‘Bringing artificial intelligence to the edge of the IoT’, imec magazine (page 4 of this magazine issue)
After a master in electro-mechanics, Arnaud Furnémont completed his PhD at imec, focusing on characterization of nitride-based memory such as NROM and TANOS. In 2008, he joined Intel in Boise (Idaho) and became responsible for 20nm planar Flash reliability, and later for an emerging memory concept. In 2013 he joined imec as memory characterization and integration teams manager. Since end of 2014, Arnaud serves as memory director at imec, with MRAM, RRAM, 3D NAND and ferroelectric memories as main focuses.
Gouri Sankar Kar received the PhD degree in semiconductor device physics from the Indian Institute of Technology, Khragput, India in 2002. From 2002 to 2005, he was a visiting scientist at Max Planck Institute for Solid State Research, Stuttgart, Germany, where he worked with Nobel Laureate (1985, Quantum Hall Effect) Prof. Klaus von Klitzing on quantum dot FET. In 2006, he joined Infineon/Qimonda in Dresden, Germany as lead integration engineer. There he worked on the vertical transistor for DRAM application. In 2009, he joined imec, Leuven, Belgium, where he is currently distinguished member of technical staff (DMTS). In this role, he defines the strategy and vision for RRAM, DRAM-MIMCAP and STT-MRAM programs both for stand-alone and embedded applications.