Mambo

Bohrer, Patrick; Peterson, James L.; Elnozahy, Mootaz; Rajamony, Ram; Gheith, Ahmed; Rockhold, R.; Lefurgy, Charles; Shafi, Hazim; Nakra, Tarun; Simpson, Rick; Speight, Evan W.; Sudeep, Kartik; Hensbergen, Eric Van; Zhang, Lixin

doi:10.1145/1054907.1054910

Cited by 121 publications

(4 citation statements)

References 4 publications

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“…IBM's early exploration of confidential computing can be traced back to the research on SecureBlue++ [7,62], which included running on an emulated POWER processor on the Mambo CPU simulator [6]. Today, IBM Systems support two architectures for confidential computing: Secure Execution [22], offered on IBM Z and LinuxONE, and Protected Execution Facility (PEF) [19,20]…”

Section: Ibm Confidential Computingmentioning

confidence: 99%

Intel TDX Demystified: A Top-Down Approach

Cheng¹,

Ozga²,

Valdez³

et al. 2023

Preprint

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Intel Trust Domain Extensions (TDX) is a new architectural extension in the 4th Generation Intel Xeon Scalable Processor that supports confidential computing. TDX allows the deployment of virtual machines in the Secure-Arbitration Mode (SEAM) with encrypted CPU state and memory, integrity protection, and remote attestation. TDX aims to enforce hardware-assisted isolation for virtual machines and minimize the attack surface exposed to host platforms, which are considered to be untrustworthy or adversarial in the confidential computing's new threat model. TDX can be leveraged by regulated industries or sensitive data holders to outsource their computations and data with end-to-end protection in public cloud infrastructure. This paper aims to provide a comprehensive understanding of TDX to potential adopters, domain experts, and security researchers looking to leverage the technology for their own purposes. We adopt a top-down approach, starting with high-level security principles and moving to low-level technical details of TDX. Our analysis is based on publicly available documentation and source code, offering insights from security researchers outside of Intel.

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Section: Ibm Confidential Computingmentioning

confidence: 99%

Intel TDX Demystified: A Top-Down Approach

Cheng¹,

Ozga²,

Valdez³

et al. 2023

Preprint

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“…Many previous studies accelerated cycle-accurate simulation by adopting multithreading on multicore platforms. P-Mambo [32] is a multithreaded implementation of IBM's full-system simulator, called Mambo [50], for modeling PowerPC systems. SlackSim [34] assigns each core of a target chip multiprocessor (CMP) to one thread and then spreads threads across several machines for parallelization.…”

Section: Multicore and Multithreading Simulationmentioning

confidence: 99%

EPSim-C: A Parallel Epoch-Based Cycle-Accurate Microarchitecture Simulator Using Cloud Computing

Kim

Han

2019

Electronics

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Recently, computing platforms have been being configured on a large scale to satisfy the diverse requirements of emerging applications like big data and graph processing, neural network, speech recognition and so on. In these computing platforms, each computing node consists of a multicore, an accelerator, and a complex memory hierarchy, which are connected to other nodes using a variety of high-performance networks. Up to now, researchers have been using cycle-accurate simulators to evaluate the performance of computer systems in detail. However, the execution of the simulators, which models modern computing architecture for multi-core, multi-node, datacenter, memory hierarchy, new memory, and new interconnection, is too slow and infeasible; since the architecture has become more complex today, the complexity of the simulator is rapidly increasing. Therefore, it is seriously challenging to employ them in the research and development of next-generation computer systems. To solve this problem, we previously presented EPSim (Epoch-based Simulator), which defines epochs that can be run independently by dividing the simulation run into several sections and executes them in parallel on a multicore platform, resulting in only the limited simulation speedup. In this paper, to overcome the computing resource limitations on multi-core platforms, we propose a novel EPSim-C (EPSim on Cloud) simulator that extends EPSim and achieves higher performance using a cloud computing platform. EPSim-C is designed to perform the epoch-based executions in a massively parallel fashion by using MapReduce on Hadoop-based systems. According to our experiments, we have achieved a maximum speed of 87.0× and an average speed of 46.1× using 256 cores. As far as we know, EPSim-C is the only existing way to accelerate the cycle-accurate simulator on cloud platforms; thus, our significant performance enhancement allows researchers to model and research current and future cutting-edge computing platforms using real workloads.

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“…In other words, a full-system simulation could be viewed of as a system emulator or a system virtual machine which appears to its user as virtual hardware, i.e., the user of the full-system simulator is given the illusion to run on real hardware. Well-known examples of full-system simulators are SimOS [167], Virtutech's SimICs [132], AMD's SimNow (x86 and x86-64) [12], M5 [16], Bochs (x86 and x86-64) [139], QEMU, Embra [191], and IBM's Mambo (PowerPC) [19].…”

Section: Full-system Simulationmentioning

confidence: 99%

Computer Architecture Performance Evaluation Methods

Eeckhout¹

2010

Synthesis Lectures on Computer Architecture

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Mambo

Cited by 121 publications

References 4 publications

Intel TDX Demystified: A Top-Down Approach

Intel TDX Demystified: A Top-Down Approach

EPSim-C: A Parallel Epoch-Based Cycle-Accurate Microarchitecture Simulator Using Cloud Computing

Computer Architecture Performance Evaluation Methods

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