DRAM Bender: An Extensible and Versatile FPGA-based Infrastructure to Easily Test State-of-the-art DRAM Chips

To understand and improve DRAM performance, reliability, security and energy efficiency, prior works study characteristics of commodity DRAM chips. Unfortunately, state-of-the-art open source infrastructures capable of conducting such studies are obsolete, poorly supported, or difficult to use, or their inflexibility limit the types of studies they can conduct. We propose DRAM Bender, a new FPGA-based infrastructure that enables experimental studies on state-of-the-art DRAM chips. DRAM Bender offers three key features at the same time. First, DRAM Bender enables directly interfacing with a DRAM chip through its low-level interface. This allows users to issue DRAM commands in arbitrary order and with finer-grained time intervals compared to other open source infrastructures. Second, DRAM Bender exposes easy-to-use C++ and Python programming interfaces, allowing users to quickly and easily develop different types of DRAM experiments. Third, DRAM Bender is easily extensible. The modular design of DRAM Bender allows extending it to (i) support existing and emerging DRAM interfaces, and (ii) run on new commercial or custom FPGA boards with little effort. To demonstrate that DRAM Bender is a versatile infrastructure, we conduct three case studies, two of which lead to new observations about the DRAM RowHammer vulnerability. In particular, we show that data patterns supported by DRAM Bender uncovers a larger set of bit-flips on a victim row compared to the data patterns commonly used by prior work. We demonstrate the extensibility of DRAM Bender by implementing it on five different FPGAs with DDR4 and DDR3 support. DRAM Bender is freely and openly available at https://github.com/CMU-SAFARI/DRAM-Bender.Comment: To appear in TCAD 202

PiDRAM: A Holistic End-to-end FPGA-based Framework for Processing-in-DRAM

Processing-using-memory (PuM) techniques leverage the analog operation of memory cells to perform computation. Several recent works have demonstrated PuM techniques in off-the-shelf DRAM devices. Since DRAM is the dominant memory technology as main memory in current computing systems, these PuM techniques represent an opportunity for alleviating the data movement bottleneck at very low cost. However, system integration of PuM techniques imposes non-trivial challenges that are yet to be solved. Design space exploration of potential solutions to the PuM integration challenges requires appropriate tools to develop necessary hardware and software components. Unfortunately, current specialized DRAM-testing platforms, or system simulators do not provide the flexibility and/or the holistic system view that is necessary to deal with PuM integration challenges. We design and develop PiDRAM, the first flexible end-to-end framework that enables system integration studies and evaluation of real PuM techniques. PiDRAM provides software and hardware components to rapidly integrate PuM techniques across the whole system software and hardware stack (e.g., necessary modifications in the operating system, memory controller). We implement PiDRAM on an FPGA-based platform along with an open-source RISC-V system. Using PiDRAM, we implement and evaluate two state-of-the-art PuM techniques: in-DRAM (i) copy and initialization, (ii) true random number generation. Our results show that the in-memory copy and initialization techniques can improve the performance of bulk copy operations by 12.6x and bulk initialization operations by 14.6x on a real system. Implementing the true random number generator requires only 190 lines of Verilog and 74 lines of C code using PiDRAM's software and hardware components.Comment: To appear in ACM Transactions on Architecture and Code Optimizatio

DReAM: Dynamic Re-arrangement of Address Mapping to Improve the Performance of DRAMs

The initial location of data in DRAMs is determined and controlled by the 'address-mapping' and even modern memory controllers use a fixed and run-time-agnostic address mapping. On the other hand, the memory access pattern seen at the memory interface level will dynamically change at run-time. This dynamic nature of memory access pattern and the fixed behavior of address mapping process in DRAM controllers, implied by using a fixed address mapping scheme, means that DRAM performance cannot be exploited efficiently. DReAM is a novel hardware technique that can detect a workload-specific address mapping at run-time based on the application access pattern which improves the performance of DRAMs. The experimental results show that DReAM outperforms the best evaluated address mapping on average by 9%, for mapping-sensitive workloads, by 2% for mapping-insensitive workloads, and up to 28% across all the workloads. DReAM can be seen as an insurance policy capable of detecting which scenarios are not well served by the predefined address mapping

PHY Link Design and Optimization For High-Speed Low-Power Communication Systems

The ever-growing demands for high-bandwidth data transfer have been pushing towards advancing research efforts in the field of high-performing communication systems. Studies on the performance of single chip, e.g. faster multi-core processors and higher system memory capacity, have been explored. To further enhance the system performance, researches have been focused on the improvement of data-transfer bandwidth for chip-to-chip communication in the high-speed serial link. Many solutions have been addressed to overcome the bottleneck caused by the non-idealties such as bandwidth-limited electrical channel that connects two link devices and varieties of undesired noise in the communication systems. Nevertheless, with these solutions data have run into limitations of the timing margins for high-speed interfaces running at multiple gigabits per second data rates on low-cost Printed Circuit Board (PCB) material with constrained power budget. Therefore, the challenge in designing a physical layer (PHY) link for high-speed communication systems turns out to be power-efficient, reliable and cost-effective. In this context, this dissertation is intended to focus on architectural design, system-level and circuit-level verification of a PHY link as well as system performance optimization in respective of power, reliability and adaptability in high-speed communication systems. The PHY is mainly composed of clock data recovery (CDR), equalizers (EQs) and high- speed I/O drivers. Symmetrical structure of the PHY link is usually duplicated in both link devices for bidirectional data transmission. By introducing training mechanisms into high-speed communication systems, the timing in one link device is adaptively aligned to the timing condition specified in the other link device despite of different skews or induced jitter resulting from process, voltage and temperature (PVT) variations in the individual link. With reliable timing relationships among the interface signals provided, the total system bandwidth is dramatically improved. On the other hand, interface training offers high flexibility for reuse without further investigation on high demanding components involved in high costs. In the training mode, a CDR module is essential for reconstructing the transmitted bitstream to achieve the best data eye and to detect the edges of data stream in asynchronous systems or source-synchronous systems. Generally, the CDR works as a feedback control system that aligns its output clock to the center of the received data. In systems that contain multiple data links, the overall CDR power consumption increases linearly with the increase in number of links as one CDR is required for each link. Therefore, a power-efficient CDR plays a significant role in such systems with parallel links. Furthermore, a high performance CDR requires low jitter generation in spite of high input jitter. To minimize the trade-off between power consumption and CDR jitter, a novel CDR architecture is proposed by utilizing the proportional-integral (PI) controller and three times sampling scheme. Meanwhile, signal integrity (SI) becomes critical as the data rate exceeds several gigabits per second. Distorted data due to the non-idealties in systems are likely to reduce the signal quality aggressively and result in intolerable transmission errors in worst case scenarios, thus affect the system effective bandwidth. Hence, additional trainings such as transmitter (Tx) and receiver (Rx) EQ trainings for SI purpose are inserted into the interface training. Besides, a simplified system architecture with unsymmetrical placement of adaptive Rx and Tx EQs in a single link device is proposed and analyzed by using different coefficient adaptation algorithms. This architecture enables to reduce a large number of EQs through the training, especially in case of parallel links. Meanwhile, considerable power and chip area are saved. Finally, high-speed I/O driver against PVT variations is discussed. Critical issues such as overshoot and undershoot interfering with the data are primarily accompanied by impedance mismatch between the I/O driver and its transmitting channel. By applying PVT compensation technique I/O driver impedances can be effectively calibrated close to the target value. Different digital impedance calibration algorithms against PVT variations are implemented and compared for achieving fast calibration and low power requirements

Low Energy DRAM Controller for Computer Systems

In this work, we leverage an open source simulation framework to evaluate different memory scheduling algorithms and we provide an architectural design of a memory controller, which is implemented in Verilog and tested on a FPGA platform

Suppressing the Oblivious RAM timing channel while making information leakage and program efficiency trade-offs

Oblivious RAM (ORAM) is an established cryptographic technique to hide a program's address pattern to an untrusted storage system. More recently, ORAM schemes have been proposed to replace conventional memory controllers in secure processor settings to protect against information leakage in external memory and the processor I/O bus. A serious problem in current secure processor ORAM proposals is that they don't obfuscate when ORAM accesses are made, or do so in a very conservative manner. Since secure processors make ORAM accesses on last-level cache misses, ORAM access timing strongly correlates to program access pattern (e.g., locality). This brings ORAM's purpose in secure processors into question. This paper makes two contributions. First, we show how a secure processor can bound ORAM timing channel leakage to a user-controllable leakage limit. The secure processor is allowed to dynamically optimize ORAM access rate for power/performance, subject to the constraint that the leakage limit is not violated. Second, we show how changing the leakage limit impacts program efficiency. We present a dynamic scheme that leaks at most 32 bits through the ORAM timing channel and introduces only 20% performance overhead and 12% power overhead relative to a baseline ORAM that has no timing channel protection. By reducing leakage to 16 bits, our scheme degrades in performance by 5% but gains in power efficiency by 3%. We show that a static (zero leakage) scheme imposes a 34% power overhead for equivalent performance (or a 30% performance overhead for equivalent power) relative to our dynamic scheme.United States. Dept. of Defense (National Defense Science and Engineering Graduate (NDSEG) Fellowship)United States. Defense Advanced Research Projects Agency. Clean-slate Design of Resilient, Adaptive, Secure Hosts (CRASH) Program (Contract N66001-10-2-4089

Introductory Microcontroller Programming

This text is a treatise on microcontroller programming. It introduces the major peripherals found on most microcontrollers, including the usage of them, focusing on the ATmega644p in the AVR family produced by Atmel. General information and background knowledge on several topics is also presented. These topics include information regarding the hardware of a microcontroller and assembly code as well as instructions regarding good program structure and coding practices. Examples with code and discussion are presented throughout. This is intended for hobbyists and students desiring knowledge on programming microcontrollers, and is written at a level that students entering the junior level core robotics classes would find useful