Hardware Is the New Software
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Effective Virtual CPU Configuration with QEMU and Libvirt
Effective Virtual CPU Configuration with QEMU and libvirt Kashyap Chamarthy <[email protected]> Open Source Summit Edinburgh, 2018 1 / 38 Timeline of recent CPU flaws, 2018 (a) Jan 03 • Spectre v1: Bounds Check Bypass Jan 03 • Spectre v2: Branch Target Injection Jan 03 • Meltdown: Rogue Data Cache Load May 21 • Spectre-NG: Speculative Store Bypass Jun 21 • TLBleed: Side-channel attack over shared TLBs 2 / 38 Timeline of recent CPU flaws, 2018 (b) Jun 29 • NetSpectre: Side-channel attack over local network Jul 10 • Spectre-NG: Bounds Check Bypass Store Aug 14 • L1TF: "L1 Terminal Fault" ... • ? 3 / 38 Related talks in the ‘References’ section Out of scope: Internals of various side-channel attacks How to exploit Meltdown & Spectre variants Details of performance implications What this talk is not about 4 / 38 Related talks in the ‘References’ section What this talk is not about Out of scope: Internals of various side-channel attacks How to exploit Meltdown & Spectre variants Details of performance implications 4 / 38 What this talk is not about Out of scope: Internals of various side-channel attacks How to exploit Meltdown & Spectre variants Details of performance implications Related talks in the ‘References’ section 4 / 38 OpenStack, et al. libguestfs Virt Driver (guestfish) libvirtd QMP QMP QEMU QEMU VM1 VM2 Custom Disk1 Disk2 Appliance ioctl() KVM-based virtualization components Linux with KVM 5 / 38 OpenStack, et al. libguestfs Virt Driver (guestfish) libvirtd QMP QMP Custom Appliance KVM-based virtualization components QEMU QEMU VM1 VM2 Disk1 Disk2 ioctl() Linux with KVM 5 / 38 OpenStack, et al. libguestfs Virt Driver (guestfish) Custom Appliance KVM-based virtualization components libvirtd QMP QMP QEMU QEMU VM1 VM2 Disk1 Disk2 ioctl() Linux with KVM 5 / 38 libguestfs (guestfish) Custom Appliance KVM-based virtualization components OpenStack, et al. -
Microcode Revision Guidance August 31, 2019 MCU Recommendations
microcode revision guidance August 31, 2019 MCU Recommendations Section 1 – Planned microcode updates • Provides details on Intel microcode updates currently planned or available and corresponding to Intel-SA-00233 published June 18, 2019. • Changes from prior revision(s) will be highlighted in yellow. Section 2 – No planned microcode updates • Products for which Intel does not plan to release microcode updates. This includes products previously identified as such. LEGEND: Production Status: • Planned – Intel is planning on releasing a MCU at a future date. • Beta – Intel has released this production signed MCU under NDA for all customers to validate. • Production – Intel has completed all validation and is authorizing customers to use this MCU in a production environment. -
Undocumented CPU Behavior: Analyzing Undocumented Opcodes on Intel X86-64 Catherine Easdon Why Investigate Undocumented Behavior? the “Golden Screwdriver” Approach
Undocumented CPU Behavior: Analyzing Undocumented Opcodes on Intel x86-64 Catherine Easdon Why investigate undocumented behavior? The “golden screwdriver” approach ● Intel have confirmed they add undocumented features to general-release chips for key customers "As far as the etching goes, we have done different things for different customers, and we have put different things into the silicon, such as adding instructions or pins or signals for logic for them. The difference is that it goes into all of the silicon for that product. And so the way that you do it is somebody gives you a feature, and they say, 'Hey, can you get this into the product?' You can't do something that takes up a huge amount of die, but you can do an instruction, you can do a signal, you can do a number of things that are logic-related." ~ Jason Waxman, Intel Cloud Infrastructure Group (Source: http://www.theregister.co.uk/2013/05/20/intel_chip_customization/ ) Poor documentation ● Intel has a long history of withholding information from their manuals (Source: http://datasheets.chipdb.org/Intel/x86/Pentium/24143004.PDF) Poor documentation ● Intel has a long history of withholding information from their manuals (Source: https://stackoverflow.com/questions/14413839/what-are-the-exhaustion-characteristics-of-rdrand-on-ivy-bridge) Poor documentation ● Even when the manuals don’t withhold information, they are often misleading or inconsistent Section 22.15, Intel Developer Manual Vol. 3: Section 6.15 (#UD exception): Poor documentation leads to vulnerabilities ● In operating systems ○ POP SS/MOV SS (May 2018) ■ Developer confusion over #DB handling ■ Load + execute unsigned kernel code on Windows ■ Also affected: Linux, MacOS, FreeBSD.. -
VM Virtualization Tasks Problems of X86 Categories of X86 Virtualization
VM Starts from IBM VM/370 definition: "an efficient, isolated duplicate of a real machine" Old purpose: share the resource of the expensive mainframe machine New purpose: fault tolerance and security; run multiple different OSes on the same desktop; server consolidation and performance isolation, etc. type 1 vmm: vmm running on bare hardware type 2 vmm: vmm running on host os Virtualization tasks (isolate, secure, fast, transparent …) 1. cpu virtualization How to make sure privileged instructions (e.g., enable/disable interrupts; change critical registers) will not be executed directly 2. memory virtualization OS thought they can control the whole physical memory. No! 3. I/O virtualization OS thought I/O devices are all under its own control. No! Problems of X86 1. Some privileged instructions do not trap; they just fail/change-semantic silently. 2. TLB miss will be handled by hardware instead of software Categories of X86 virtualization Full-virtualization (VMWare) No change to guest OS Use binary translation to change some instructions (privilege instructions or all OS code) on the fly Para-virtualization (Xen) Change guest OS to improve performance Rewrite OS; replace privileged instructions with hypercalls Many other changes Disco On MIPS DISCO directly runs on multi-processor machine; Oses run upon DISCO Goal: use commodity OSes to leverage many-core cluster VMM runs in kernel mode VM OS runs in supervisor mode VM user runs in user mode Privileged instructions will trap to VMM and be emulated CPU virtualization No special challenge (seemed that all privilege instructions will trap) VMM maintains a process-table-entry-like data structure for each VM (virtual PC) (including registers, states, and TLB content (used for emulation …) ). -
Intel® 64 and IA-32 Architectures Software Developer's Manual, Volume 3C: System Programming Guide, Part 3
Intel® 64 and IA-32 Architectures Software Developer’s Manual Volume 3C: System Programming Guide, Part 3 NOTE: The Intel® 64 and IA-32 Architectures Software Developer's Manual consists of seven volumes: Basic Architecture, Order Number 253665; Instruction Set Reference A-M, Order Number 253666; Instruction Set Reference N-Z, Order Number 253667; Instruction Set Reference, Order Number 326018; System Programming Guide, Part 1, Order Number 253668; System Programming Guide, Part 2, Order Number 253669; System Programming Guide, Part 3, Order Number 326019. Refer to all seven volumes when evaluating your design needs. Order Number: 326019-049US February 2014 INFORMATION IN THIS DOCUMENT IS PROVIDED IN CONNECTION WITH INTEL PRODUCTS. NO LICENSE, EXPRESS OR IMPLIED, BY ESTOPPEL OR OTHERWISE, TO ANY INTELLECTUAL PROPERTY RIGHTS IS GRANTED BY THIS DOCUMENT. EXCEPT AS PROVIDED IN INTEL'S TERMS AND CONDI- TIONS OF SALE FOR SUCH PRODUCTS, INTEL ASSUMES NO LIABILITY WHATSOEVER AND INTEL DISCLAIMS ANY EXPRESS OR IMPLIED WARRAN- TY, RELATING TO SALE AND/OR USE OF INTEL PRODUCTS INCLUDING LIABILITY OR WARRANTIES RELATING TO FITNESS FOR A PARTICULAR PURPOSE, MERCHANTABILITY, OR INFRINGEMENT OF ANY PATENT, COPYRIGHT OR OTHER INTELLECTUAL PROPERTY RIGHT. A "Mission Critical Application" is any application in which failure of the Intel Product could result, directly or indirectly, in personal injury or death. SHOULD YOU PURCHASE OR USE INTEL'S PRODUCTS FOR ANY SUCH MISSION CRITICAL APPLICATION, YOU SHALL INDEMNIFY AND HOLD INTEL AND ITS SUBSIDIARIES, SUBCONTRACTORS AND AFFILIATES, AND THE DIRECTORS, OFFICERS, AND EMPLOYEES OF EACH, HARMLESS AGAINST ALL CLAIMS COSTS, DAMAGES, AND EXPENSES AND REASONABLE ATTORNEYS' FEES ARISING OUT OF, DIRECTLY OR INDIRECTLY, ANY CLAIM OF PRODUCT LIABILITY, PERSONAL INJURY, OR DEATH ARISING IN ANY WAY OUT OF SUCH MISSION CRITICAL APPLICATION, WHETHER OR NOT INTEL OR ITS SUBCONTRACTOR WAS NEGLIGENT IN THE DESIGN, MANUFACTURE, OR WARNING OF THE INTEL PRODUCT OR ANY OF ITS PARTS. -
45-Year CPU Evolution: One Law and Two Equations
45-year CPU evolution: one law and two equations Daniel Etiemble LRI-CNRS University Paris Sud Orsay, France [email protected] Abstract— Moore’s law and two equations allow to explain the a) IC is the instruction count. main trends of CPU evolution since MOS technologies have been b) CPI is the clock cycles per instruction and IPC = 1/CPI is the used to implement microprocessors. Instruction count per clock cycle. c) Tc is the clock cycle time and F=1/Tc is the clock frequency. Keywords—Moore’s law, execution time, CM0S power dissipation. The Power dissipation of CMOS circuits is the second I. INTRODUCTION equation (2). CMOS power dissipation is decomposed into static and dynamic powers. For dynamic power, Vdd is the power A new era started when MOS technologies were used to supply, F is the clock frequency, ΣCi is the sum of gate and build microprocessors. After pMOS (Intel 4004 in 1971) and interconnection capacitances and α is the average percentage of nMOS (Intel 8080 in 1974), CMOS became quickly the leading switching capacitances: α is the activity factor of the overall technology, used by Intel since 1985 with 80386 CPU. circuit MOS technologies obey an empirical law, stated in 1965 and 2 Pd = Pdstatic + α x ΣCi x Vdd x F (2) known as Moore’s law: the number of transistors integrated on a chip doubles every N months. Fig. 1 presents the evolution for II. CONSEQUENCES OF MOORE LAW DRAM memories, processors (MPU) and three types of read- only memories [1]. The growth rate decreases with years, from A. -
The Case for Hardware Transactional Memory
Lecture 20: Transactional Memory CMU 15-418: Parallel Computer Architecture and Programming (Spring 2012) Giving credit ▪ Many of the slides in today’s talk are the work of Professor Christos Kozyrakis (Stanford University) (CMU 15-418, Spring 2012) Raising level of abstraction for synchronization ▪ Machine-level synchronization prims: - fetch-and-op, test-and-set, compare-and-swap ▪ We used these primitives to construct higher level, but still quite basic, synchronization prims: - lock, unlock, barrier ▪ Today: - transactional memory: higher level synchronization (CMU 15-418, Spring 2012) What you should know ▪ What a transaction is ▪ The difference between the atomic construct and locks ▪ Design space of transactional memory implementations - data versioning policy - con"ict detection policy - granularity of detection ▪ Understand HW implementation of transaction memory (consider how it relates to coherence protocol implementations we’ve discussed in the past) (CMU 15-418, Spring 2012) Example void deposit(account, amount) { lock(account); int t = bank.get(account); t = t + amount; bank.put(account, t); unlock(account); } ▪ Deposit is a read-modify-write operation: want “deposit” to be atomic with respect to other bank operations on this account. ▪ Lock/unlock pair is one mechanism to ensure atomicity (ensures mutual exclusion on the account) (CMU 15-418, Spring 2012) Programming with transactional memory void deposit(account, amount){ void deposit(account, amount){ lock(account); atomic { int t = bank.get(account); int t = bank.get(account); t = t + amount; t = t + amount; bank.put(account, t); bank.put(account, t); unlock(account); } } } nDeclarative synchronization nProgrammers says what but not how nNo explicit declaration or management of locks nSystem implements synchronization nTypically with optimistic concurrency nSlow down only on true con"icts (R-W or W-W) (CMU 15-418, Spring 2012) Declarative vs. -
Security Analysis of Encrypted Virtual Machines
Security Analysis of Encrypted Virtual Machines Felicitas Hetzelt Robert Buhren Technical University of Berlin Technical University of Berlin Berlin, Germany Berlin, Germany fi[email protected] [email protected] Abstract 1. Introduction Cloud computing has become indispensable in today’s com- Cloud computing has been one of the most prevalent trends puter landscape. The flexibility it offers for customers as in the computer industry in the last decade. It offers clear ad- well as for providers has become a crucial factor for large vantages for both customers and providers. Customers can parts of the computer industry. Virtualization is the key tech- easily deploy multiple servers and dynamically allocate re- nology that allows for sharing of hardware resources among sources according to their immediate needs. Providers can different customers. The controlling software component, ver-commit their hardware and thus increase the overall uti- called hypervisor, provides a virtualized view of the com- lization of their systems. The key technology that made this puter resources and ensures separation of different guest vir- possible is virtualization, it allows multiple operating sys- tual machines. However, this important cornerstone of cloud tems to share hardware resources. The hypervisor is respon- computing is not necessarily trustworthy or bug-free. To mit- sible for providing temporal and spatial separation of the igate this threat AMD introduced Secure Encrypted Virtu- virtual machines (VMs). However, besides these advantages alization, short SEV, which transparently encrypts a virtual virtualization also introduced new risks. machines memory. Customers who want to utilize the infrastructure of a In this paper we analyse to what extend the proposed fea- cloud provider must fully trust the cloud provider. -
Robust Architectural Support for Transactional Memory in the Power Architecture
Robust Architectural Support for Transactional Memory in the Power Architecture Harold W. Cain∗ Brad Frey Derek Williams IBM Research IBM STG IBM STG Yorktown Heights, NY, USA Austin, TX, USA Austin, TX, USA [email protected] [email protected] [email protected] Maged M. Michael Cathy May Hung Le IBM Research IBM Research (retired) IBM STG Yorktown Heights, NY, USA Yorktown Heights, NY, USA Austin, TX, USA [email protected] [email protected] [email protected] ABSTRACT in current p795 systems, with 8 TB of DRAM), as well as On the twentieth anniversary of the original publication [10], strengths in RAS that differentiate it in the market, adding following ten years of intense activity in the research lit- TM must not compromise any of these virtues. A robust erature, hardware support for transactional memory (TM) system is one that is sturdy in construction, a trait that has finally become a commercial reality, with HTM-enabled does not usually come to mind in respect to HTM systems. chips currently or soon-to-be available from many hardware We structured TM to work in harmony with features that vendors. In this paper we describe architectural support for support the architecture's scalability. Our goal has been to TM provide a comprehensive programming environment includ- TM added to a future version of the Power ISA . Two im- ing support for simple system calls and debug aids, while peratives drove the development: the desire to complement providing a robust (in the sense of "no surprises") execu- our weakly-consistent memory model with a more friendly tion environment with reasonably consistent performance interface to simplify the development and porting of multi- and without unexpected transaction failures.2 TM must be threaded applications, and the need for robustness beyond usable throughout the system stack: in hypervisors, oper- that of some early implementations. -
Leveraging Modern Multi-Core Processor Features to Efficiently
LEVERAGING MODERN MULTI-CORE PROCESSORS FEATURES TO EFFICIENTLY DEAL WITH SILENT ERRORS, AUGUST 2017 1 Leveraging Modern Multi-core Processor Features to Efficiently Deal with Silent Errors Diego Perez´ ∗, Thomas Roparsz, Esteban Meneses∗y ∗School of Computing, Costa Rica Institute of Technology yAdvanced Computing Laboratory, Costa Rica National High Technology Center zUniv. Grenoble Alpes, CNRS, Grenoble INP ' , LIG, F-38000 Grenoble France Abstract—Since current multi-core processors are more com- about 200% of resource overhead [3]. Recent contributions [1] plex systems on a chip than previous generations, some transient [4] tend to show that checkpointing techniques provide the errors may happen, go undetected by the hardware and can best compromise between transparency for the developer and potentially corrupt the result of an expensive calculation. Because of that, techniques such as Instruction Level Redundancy or efficient resource usage. In theses cases only one extra copy checkpointing are utilized to detect and correct these soft errors; is executed, which is enough to detect the error. But, still the however these mechanisms are highly expensive, adding a lot technique remains expensive with about 100% of overhead. of resource overhead. Hardware Transactional Memory (HTM) To reduce this overhead, some features provided by recent exposes a very convenient and efficient way to revert the state of processors, such as hardware-managed transactions, Hyper- a core’s cache, which can be utilized as a recovery technique. An experimental prototype has been created that uses such feature Threading and memory protection extensions, could be great to recover the previous state of the calculation when a soft error opportunities to implement efficient error detection and recov- has been found. -
H1 2015-2016 Results
H1 2015-2016 Results November 2015 Safe Harbour Statement This presentation contains forward-looking statements made pursuant to the safe harbour provisions of the Private Securities litigation reform Act of 1995. By nature, forward looking statement represent the judgment regarding future events and are based on currently available information. Although the Company cannot guarantee their accuracy, actual results may differ materially from those the company anticipated due to a number of uncertainties, many of which the Company is not aware. For additional information concerning these and other important factors that may cause the Company’s actual results to differ materially from expectations and underlying assumptions, please refer to the reports filed by the Company with the Autorité des Marchés Financiers (AMF). Soitec – H1 2015-2016 Results – November 2015 2 Agenda 1 Highlights 2 H1 2015-2016 Financial results 3 Outlook 4 Q&A Appendix: Electronics core business Soitec – H1 2015-2016 Results – November 2015 3 H1 2015-2016 - Core Business highlights Communication and Power – Demand remains robust for RF-SOI products in mobile applications; SOI content continues to grow within smartphones due to increased complexity (number of bands and performance) – Bernin 200mm-diameter wafer capacity is almost sold out for CY 2016 – Simgui (Chinese foundry) produced its first 200mm wafers in October 2015 and is now starting customers qualifications – Customers developing successfully 300mm wafers for RF - at least one major fabless and one foundry -
Multiprocessing Contents
Multiprocessing Contents 1 Multiprocessing 1 1.1 Pre-history .............................................. 1 1.2 Key topics ............................................... 1 1.2.1 Processor symmetry ...................................... 1 1.2.2 Instruction and data streams ................................. 1 1.2.3 Processor coupling ...................................... 2 1.2.4 Multiprocessor Communication Architecture ......................... 2 1.3 Flynn’s taxonomy ........................................... 2 1.3.1 SISD multiprocessing ..................................... 2 1.3.2 SIMD multiprocessing .................................... 2 1.3.3 MISD multiprocessing .................................... 3 1.3.4 MIMD multiprocessing .................................... 3 1.4 See also ................................................ 3 1.5 References ............................................... 3 2 Computer multitasking 5 2.1 Multiprogramming .......................................... 5 2.2 Cooperative multitasking ....................................... 6 2.3 Preemptive multitasking ....................................... 6 2.4 Real time ............................................... 7 2.5 Multithreading ............................................ 7 2.6 Memory protection .......................................... 7 2.7 Memory swapping .......................................... 7 2.8 Programming ............................................. 7 2.9 See also ................................................ 8 2.10 References .............................................