MRAM-Based FPGAs: A Survey

Over the last decade, field programmable gate arrays (FPGAs) have embraced heterogeneity in a transformative way by leveraging emerging memory devices along with conventional CMOS-based devices to realize technology-specific benefits. Memristive device technologies exhibit desirable characteristics such as non-volatility, scalability, near-zero leakage, radiation hardness, and more, making them promising alternatives for SRAM cells found in conventional SRAM-based FPGAs. In recent years, a significant amount of research has been performed to take advantage of these emerging technologies to develop fundamental building blocks of FPGAs like hybrid CMOS-memristive look-up tables (LUTs) and configurable logic blocks (CLBs). In this chapter, we will provide a brief overview of the previous work on hybrid CMOS-memristive FPGAs and their corresponding opportunities and challenges

Conception sur mesure d'un FPGA durci aux radiations à base de mémoires magnétiques

The aim of the thesis was to show that MRAM memory has many advantages for use as a configuration memory for reconfigurable architectures and especially Field Programmable Gate-Arrays (FPGAs). This type of component is programmable and allows designing a digital circuit simply by programming memory cells that define its functionality. An FPGA is thus mainly composed of memory cells. That is why they largely determine its characteristics as its surface or power consumption and affect its performance as its speed. MRAM memories are composed of Magnetic Tunnel Junctions (JTMs) which store information in the form of a magnetization. A JTM is composed of three layers: two layers of ferromagnetic material separated by an insulating layer. One of the two ferromagnetic layers has a magnetization pinned in a fixed direction (reference layer) while the other one can have its magnetization switched between two directions (storage layer). Thus, the propagation of the electrons is changed depending on whether the two magnetizations are parallel or antiparallel that is to say that the electrical resistance of the junction changes according to the orientation of the magnetizations. It is low when the magnetizations are parallel and high when antiparallel. Writing a JTM consists in changing the orientation of the magnetization of the storage layer while reading consists in determining if the resistance is high or low. The advantages of the JTM make it a good candidate to be used as a universal memory although research efforts are still needed. However, it has many advantages such as non-volatility, fast and low power consumption compared to writing to Flash memory as well as resistance to radiation. With these advantages, we may already use it in some applications and in particular in the field of space. Indeed, its use in this area allows taking advantage of all of the benefits of JTM due to the fact that it is intrinsically immune to radiation and non-volatile. It therefore enables to make a radiation hardened and low power FPGA with new functionalities. The work of this thesis is held over three years. The first year was dedicated to the state of the art in order to learn the mechanisms of JTMs, the architecture of FPGAs, radiation hardening and low power consumption techniques as well as the operation of the tools used in microelectronics. After the first year, a new FPGA architecture concept was proposed. The second and third years were devoted to the realization of this innovation with the search for the best circuit structure and the realization of an elementary component of a FPGA and the design and manufacture of a demonstrator. The demonstrator has been successfully tested and proved the new concept. The new circuit architecture of FPGA has shown that the use of MRAM cells as configuration memories for FPGAs was particularly advantageous for future technologies.Le but de la thèse a été de montrer que les cellules mémoires MRAM présentent de nombreux avantages pour une utilisation en tant que mémoire de configuration pour les architectures reconfigurables et en particulier les FPGAs (Field Programmable Gate Arrays). Ce type de composant est programmable et permet de concevoir un circuit numérique simplement en programmant des cellules mémoires qui définissent sa fonctionnalité. Un FPGA est principalement constitué de cellules mémoires. C'est pourquoi elles déterminent en grande partie ses caractéristiques comme sa surface ou sa consommation et influencent ses performances comme sa rapidité. Les mémoires MRAM sont composées de Jonctions Tunnel Magnétiques (JTMs) qui stockent l'information sous la forme d'une aimantation. Une JTM est composée de trois couches : deux couches de matériaux ferromagnétiques séparées par une couche isolante. Une des deux couches ferromagnétiques a une aimantation fixée dans un certaine direction (couche de référence) tandis que l'autre peut voir son aimantation changer dans deux directions (couche de stockage). Ainsi, la propagation des électrons est changée suivant que les deux aimantations sont parallèles ou antiparallèles c'est-à-dire que la résistance électrique de la jonction change suivant l'orientation relative des aimantations. Elle est faible lorsque les aimantations sont parallèles et forte lorsqu'elles sont antiparallèles. L'écriture d'une JTM consiste donc à changer l'orientation de l'aimantation de la couche de stockage tandis que la lecture consiste à déterminer si l'on a une forte ou une faible résistance. Les atouts de la JTM font d'elle une bonne candidate pour être une mémoire dite universelle, bien que des efforts de recherche restent à accomplir. Cependant, elle a de nombreux avantages comme la non-volatilité, la rapidité et la faible consommation à l'écriture comparée à la mémoire Flash ainsi que la résistance aux radiations. Grâce à ces avantages, on peut déjà l'utiliser dans certaines applications et en particulier dans le domaine du spatial. En effet, l'utilisation dans ce domaine permet de tirer parti de tous les avantages de la JTM en raison du fait qu'elle est intrinsèquement immune aux radiations et non-volatile. Elle permet donc de réaliser un FPGA résistant aux radiations et avec une basse consommation et de nouvelles fonctionnalités. Le travail de la thèse s'est donc déroulé sur trois ans. La première année a d'abord été dédiée à l'état de l'art afin d'apprendre le fonctionnement des JTMs, l'architecture des FPGAs, les techniques de durcissement aux radiations et de basse consommation ainsi que le fonctionnement des outils utilisés en microélectronique. Au bout de la première année, un nouveau concept d'architecture de FPGA a été proposé. Les deuxième et troisième années ont été dédiées à la réalisation de cette innovation avec la recherche de la meilleure structure de circuit et la réalisation d'un circuit de base d'un FPGA ainsi que la conception puis la fabrication d'un démonstrateur. Le démonstrateur a été testé avec succès et a permis de prouver le concept. La nouvelle architecture de circuit de FPGA a permis de montrer que l'utilisation des mémoires MRAM comme mémoire de configuration de FPGA était avantageuse et en particulier pour les technologies futures

Conception sur mesure d'un FPGA durci aux radiations à base de mémoires magnétiques

Le but de la thèse a été de montrer que les cellules mémoires MRAM présentent de nombreux avantages pour une utilisation en tant que mémoire de configuration pour les architectures reconfigurables et en particulier les FPGAs (Field Programmable Gate Arrays). Ce type de composant est programmable et permet de concevoir un circuit numérique simplement en programmant des cellules mémoires qui définissent sa fonctionnalité. Un FPGA est principalement constitué de cellules mémoires. C'est pourquoi elles déterminent en grande partie ses caractéristiques comme sa surface ou sa consommation et influencent ses performances comme sa rapidité. Les mémoires MRAM sont composées de Jonctions Tunnel Magnétiques (JTMs) qui stockent l'information sous la forme d'une aimantation. Une JTM est composée de trois couches : deux couches de matériaux ferromagnétiques séparées par une couche isolante. Une des deux couches ferromagnétiques a une aimantation fixée dans un certaine direction (couche de référence) tandis que l'autre peut voir son aimantation changer dans deux directions (couche de stockage). Ainsi, la propagation des électrons est changée suivant que les deux aimantations sont parallèles ou antiparallèles c'est-à-dire que la résistance électrique de la jonction change suivant l'orientation relative des aimantations. Elle est faible lorsque les aimantations sont parallèles et forte lorsqu'elles sont antiparallèles. L'écriture d'une JTM consiste donc à changer l'orientation de l'aimantation de la couche de stockage tandis que la lecture consiste à déterminer si l'on a une forte ou une faible résistance. Les atouts de la JTM font d'elle une bonne candidate pour être une mémoire dite universelle, bien que des efforts de recherche restent à accomplir. Cependant, elle a de nombreux avantages comme la non-volatilité, la rapidité et la faible consommation à l'écriture comparée à la mémoire Flash ainsi que la résistance aux radiations. Grâce à ces avantages, on peut déjà l'utiliser dans certaines applications et en particulier dans le domaine du spatial. En effet, l'utilisation dans ce domaine permet de tirer parti de tous les avantages de la JTM en raison du fait qu'elle est intrinsèquement immune aux radiations et non-volatile. Elle permet donc de réaliser un FPGA résistant aux radiations et avec une basse consommation et de nouvelles fonctionnalités. Le travail de la thèse s'est donc déroulé sur trois ans. La première année a d'abord été dédiée à l'état de l'art afin d'apprendre le fonctionnement des JTMs, l'architecture des FPGAs, les techniques de durcissement aux radiations et de basse consommation ainsi que le fonctionnement des outils utilisés en microélectronique. Au bout de la première année, un nouveau concept d'architecture de FPGA a été proposé. Les deuxième et troisième années ont été dédiées à la réalisation de cette innovation avec la recherche de la meilleure structure de circuit et la réalisation d'un circuit de base d'un FPGA ainsi que la conception puis la fabrication d'un démonstrateur. Le démonstrateur a été testé avec succès et a permis de prouver le concept. La nouvelle architecture de circuit de FPGA a permis de montrer que l'utilisation des mémoires MRAM comme mémoire de configuration de FPGA était avantageuse et en particulier pour les technologies futures.The aim of the thesis was to show that MRAM memory has many advantages for use as a configuration memory for reconfigurable architectures and especially Field Programmable Gate-Arrays (FPGAs). This type of component is programmable and allows designing a digital circuit simply by programming memory cells that define its functionality. An FPGA is thus mainly composed of memory cells. That is why they largely determine its characteristics as its surface or power consumption and affect its performance as its speed. MRAM memories are composed of Magnetic Tunnel Junctions (JTMs) which store information in the form of a magnetization. A JTM is composed of three layers: two layers of ferromagnetic material separated by an insulating layer. One of the two ferromagnetic layers has a magnetization pinned in a fixed direction (reference layer) while the other one can have its magnetization switched between two directions (storage layer). Thus, the propagation of the electrons is changed depending on whether the two magnetizations are parallel or antiparallel that is to say that the electrical resistance of the junction changes according to the orientation of the magnetizations. It is low when the magnetizations are parallel and high when antiparallel. Writing a JTM consists in changing the orientation of the magnetization of the storage layer while reading consists in determining if the resistance is high or low. The advantages of the JTM make it a good candidate to be used as a universal memory although research efforts are still needed. However, it has many advantages such as non-volatility, fast and low power consumption compared to writing to Flash memory as well as resistance to radiation. With these advantages, we may already use it in some applications and in particular in the field of space. Indeed, its use in this area allows taking advantage of all of the benefits of JTM due to the fact that it is intrinsically immune to radiation and non-volatile. It therefore enables to make a radiation hardened and low power FPGA with new functionalities. The work of this thesis is held over three years. The first year was dedicated to the state of the art in order to learn the mechanisms of JTMs, the architecture of FPGAs, radiation hardening and low power consumption techniques as well as the operation of the tools used in microelectronics. After the first year, a new FPGA architecture concept was proposed. The second and third years were devoted to the realization of this innovation with the search for the best circuit structure and the realization of an elementary component of a FPGA and the design and manufacture of a demonstrator. The demonstrator has been successfully tested and proved the new concept. The new circuit architecture of FPGA has shown that the use of MRAM cells as configuration memories for FPGAs was particularly advantageous for future technologies.SAVOIE-SCD - Bib.électronique (730659901) / SudocGRENOBLE1/INP-Bib.électronique (384210012) / SudocGRENOBLE2/3-Bib.électronique (384219901) / SudocSudocFranceF

Heterogeneous Reconfigurable Fabrics for In-circuit Training and Evaluation of Neuromorphic Architectures

A heterogeneous device technology reconfigurable logic fabric is proposed which leverages the cooperating advantages of distinct magnetic random access memory (MRAM)-based look-up tables (LUTs) to realize sequential logic circuits, along with conventional SRAM-based LUTs to realize combinational logic paths. The resulting Hybrid Spin/Charge FPGA (HSC-FPGA) using magnetic tunnel junction (MTJ) devices within this topology demonstrates commensurate reductions in area and power consumption over fabrics having LUTs constructed with either individual technology alone. Herein, a hierarchical top-down design approach is used to develop the HSCFPGA starting from the configurable logic block (CLB) and slice structures down to LUT circuits and the corresponding device fabrication paradigms. This facilitates a novel architectural approach to reduce leakage energy, minimize communication occurrence and energy cost by eliminating unnecessary data transfer, and support auto-tuning for resilience. Furthermore, HSC-FPGA enables new advantages of technology co-design which trades off alternative mappings between emerging devices and transistors at runtime by allowing dynamic remapping to adaptively leverage the intrinsic computing features of each device technology. HSC-FPGA offers a platform for fine-grained Logic-In-Memory architectures and runtime adaptive hardware. An orthogonal dimension of fabric heterogeneity is also non-determinism enabled by either low-voltage CMOS or probabilistic emerging devices. It can be realized using probabilistic devices within a reconfigurable network to blend deterministic and probabilistic computational models. Herein, consider the probabilistic spin logic p-bit device as a fabric element comprising a crossbar-structured weighted array. The Programmability of the resistive network interconnecting p-bit devices can be achieved by modifying the resistive states of the array\u27s weighted connections. Thus, the programmable weighted array forms a CLB-scale macro co-processing element with bitstream programmability. This allows field programmability for a wide range of classification problems and recognition tasks to allow fluid mappings of probabilistic and deterministic computing approaches. In particular, a Deep Belief Network (DBN) is implemented in the field using recurrent layers of co-processing elements to form an n x m1 x m2 x ::: x mi weighted array as a configurable hardware circuit with an n-input layer followed by i ≥ 1 hidden layers. As neuromorphic architectures using post-CMOS devices increase in capability and network size, the utility and benefits of reconfigurable fabrics of neuromorphic modules can be anticipated to continue to accelerate

Design and Architectural Assessment of 3-D Resistive Memory Technologies in FPGAs

Emerging Non-Volatile Memories (eNVMs) such as Phase-Change RAMs (PCRAMs) or Oxide-based Resistive RAMs (OxRRAMs) are promising candidates to replace Flash and Static Random Access Memories in many applications. This paper introduces a novel set of building blocks for Field-Programmable Gate Arrays (FPGAs) using eNVMs. We propose an eNVM-based configuration point, a look-up table structure with reduced programming complexity and a high-performance switchbox arrangement. We show that these blocks yield an improvement in area and write time of up to 3x and 33x respectively vs. a regular Flash implementation. By integrating the designed blocks in a FPGA, we demonstrate an area and delay reduction of up to 28% and 34% respectively on a set of benchmark circuits. These reductions are due to the eNVM 3-D integration and to their low on-resistance state value. Finally, we survey many flavors of the technologies and we show that the best results in terms of area and delay are obtained with Pt/TiO2/Pt stack, while the lowest leakage power is achieved by InGeTe stack

Algorithm and Hardware Co-design for Learning On-a-chip

abstract: Machine learning technology has made a lot of incredible achievements in recent years. It has rivalled or exceeded human performance in many intellectual tasks including image recognition, face detection and the Go game. Many machine learning algorithms require huge amount of computation such as in multiplication of large matrices. As silicon technology has scaled to sub-14nm regime, simply scaling down the device cannot provide enough speed-up any more. New device technologies and system architectures are needed to improve the computing capacity. Designing specific hardware for machine learning is highly in demand. Efforts need to be made on a joint design and optimization of both hardware and algorithm. For machine learning acceleration, traditional SRAM and DRAM based system suffer from low capacity, high latency, and high standby power. Instead, emerging memories, such as Phase Change Random Access Memory (PRAM), Spin-Transfer Torque Magnetic Random Access Memory (STT-MRAM), and Resistive Random Access Memory (RRAM), are promising candidates providing low standby power, high data density, fast access and excellent scalability. This dissertation proposes a hierarchical memory modeling framework and models PRAM and STT-MRAM in four different levels of abstraction. With the proposed models, various simulations are conducted to investigate the performance, optimization, variability, reliability, and scalability. Emerging memory devices such as RRAM can work as a 2-D crosspoint array to speed up the multiplication and accumulation in machine learning algorithms. This dissertation proposes a new parallel programming scheme to achieve in-memory learning with RRAM crosspoint array. The programming circuitry is designed and simulated in TSMC 65nm technology showing 900X speedup for the dictionary learning task compared to the CPU performance. From the algorithm perspective, inspired by the high accuracy and low power of the brain, this dissertation proposes a bio-plausible feedforward inhibition spiking neural network with Spike-Rate-Dependent-Plasticity (SRDP) learning rule. It achieves more than 95% accuracy on the MNIST dataset, which is comparable to the sparse coding algorithm, but requires far fewer number of computations. The role of inhibition in this network is systematically studied and shown to improve the hardware efficiency in learning.Dissertation/ThesisDoctoral Dissertation Electrical Engineering 201