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Introduction to CUDA Programming
Advanced Computer Architecture Andreas Moshovos Winter 2019 Introduction Introduction to CUDA Programming
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Should you take the course?
Goals for Today Should you take the course? What should you know What is expected of you What you will get out of it
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Should you take the course
What should you know? I’ll let you decide on your own To help you: Overview modern processor design Through reviewing modern security attacks And to make it worthwhile for everyone Through reviewing a recent excellent work on mitigating them
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Intel Sandy Bridge overview
Material for today Intel Sandy Bridge overview Older design but Intel is using the same microarchitecture with “minor” tweaks as far as our discussion is concerned Meltdown and Spectre attacks Got to really understand micro-architecture to “get it” Moin Qureshi’s: CEASER: Mitigating Conflict-Based Cache Attacks via Encrypted-Address and Remapping. MICRO 2018: , best paper award
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Intel’s Sandy Bridge Architecture
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Chip Architecture 32nm
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Overall Core Architecture
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Core Architecture – Instruction Fetch
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Instruction Decode
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Out-of-Order Execution
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Execution Units – Scalar, SIMD, FP and AVX (vector)
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Memory Access Units L1 load to use latency is 4 cycles
Banked to support multiple accesses Poor man’s multiporting? L2 load to use latency is 12 cycles
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L3 and ring interconnect
CPUs, GPU and system agent Communicate via a ring Each CPU has an 2MB 8-way SA L3 slice Static hash of addresses to slices Latency varies: which core to which slice 26-31 cycles Max bandwidth: 435.2GB/s at 3.4Ghz
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Overall Core Architecture
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Meltdown
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User vs. kernel space isolation Kernel space mapped onto user space
Privilege bit Kernel space mapped onto user space
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Exploit speculative execution
Overview of attack Exploit speculative execution To temporarily load protected data into a register Use value to cause micro-architectural state change which persists
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Meltdown Attack
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Timing Scenarios
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How to check whether an address is cached?
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Works for shared addresses
Flush+Reload Clflush instruction Flush any cache line that contains a specific address Works for shared addresses Think code that is shared among two processes Paper shows how to use that to read the secret key by detecting the order in which code functions are called
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Meltdown skeleton
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E.g., divide by zero or access illegal address
Exception E.g., divide by zero or access illegal address Suppression vs. Handling Handling: fork prior to exception Suppression: Use Transactional Memory handling Branch prediction exploitation (Spectre)
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Example Line 4: attempt to read the secret address [rcx] into register al this will raise a protection exception but the CPU will still do it as part of speculative execution the exception will be handled when the mov tries to RETIRE (Commit) SHL by 12 multiplies the AL values by 4K the page size The mov RBX will try to read a page at a distance based on the AL value. This is a race, may or may not happen. Step 2: the attacker times accesses to all 256 pages.
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Spectre
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SPECTRE
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CEASER
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LLC contains micro-architectural state
Goal LLC is shared LLC contains micro-architectural state Using side-channel attacks a process can read values from another process through this side-channel TO do so the attacker needs to know how addresses are mapped onto the LLC CEASER: per process mapping which changes frequently
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CEASER: Mitigating Conflict-Based Attacks via Encrypted-Address and Remapping
MICRO-2018 Moinuddin Qureshi
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Background: Resource Sharing
Modern systems share LLC for improving resource utilization B LLC CORE CORE Sharing the LLC allows system to dynamically allocate LLC capacity
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Conflict-Based Cache Attacks
Co-running spy can infer access pattern of victim by causing cache conflicts A V B B Miss for B Victim Accessed Set LLC TODO: More attacks CORE (Spy) CORE (Victim) Conflicts leak access pattern, used to infer secret [AES – Bernstein’05]
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Table-Based Randomization
Prior Solutions Way Partitioning Table-Based Randomization RPCache[ISCA’07], NewCache[MICRO’08] NoMo [TACO’12], CATalyst [HPCA’16] Mapping Table (MT) Inefficient use of cache space Not scalable to many core Mapping Table large for LLC (MBs) OS support needed to protect Table
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Our Goal Protect the LLC from conflict-based attacks, while incurring
Negligible storage overhead Negligible performance overhead No OS support No restriction on capacity sharing Localized Implementation
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Outline Why? CEASE CEASER Effective?
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CEASE: Cache using Encrypted Address Space
Insight: Don’t memorize the random mapping, compute it Key Decrypt Key Encrypt xCAFE0000 Dirty Evict ELA Physical Line Address (PLA) 0xa17b20cf (ELA) LLC TAGS are also of ELA Say that none of the operations change Before writeback, motivate why decryption CEASE Localized change (ELA visible only within the cache) Cache operations (access, coherence, prefetch) all remain unchanged
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Randomization via Encryption
Lines that mapped to the same set, get scattered to different sets A’ B’ LLC Encrypt Key CEASE B’’ A’’ LLC Encrypt Key CEASE A B LLC Mapping depends on the key, different machines have different keys
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Encryption: Need Fast, Small-Width Cipher
Block Cipher B B PlainText CipherText PLA is ~40 bits (up-to 64TB memory) Small-width Ciphers deemed insecure: Brute-force attack on key Memorize all input-output pairs Larger tag (80+ bits) Latency of 10+ cycles Insight: ELA not visible to attacker (okay to use 40-bit block cipher)
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Low-Latency Block Cipher (LLBC)
Four-Stage Feistel-Network (with Substitution-Permutation Network) *inspired by DES and BlowFish Encryption LLBC incurs a delay of 24 XOR gates (approximately 2-cycle latency)
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Outline Why? CEASE CEASER Effective?
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Attacker can break CEASE within 22 seconds (8MB LLC)
Let’s Break CEASE … [Liu et al. S&P, 2015] Form pattern such that cache has a conflict miss D B A C Remove one line from pattern & check conflict E Conflict Miss? No Yes LLC TODO: Make this animated Removed line MAPS to conflicting set Removed line NOT in conflicting set Attacker can break CEASE within 22 seconds (8MB LLC)
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CEASER: CEASE with Remapping
Split time into Epoch of N accesses (change Key every Epoch) Key Key Key BULK CACHE time EPOCH CurrKey NextKey CurrKey NextKey CurrKey NextKey GRADUAL CEASER uses gradual remapping to periodically change the keys
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CEASER: CEASE with Remapping
Remap-Rate of 1 % Remap W-way set after (100*W) accesses A0 B0 X1 A1 CurrKey NextKey CurrKey NextKey SetPtr B1 X0 Access=0 Epoch=0 Access=800 Epoch=0 Access=200 Epoch=0 Access=600 Epoch=0 Access=400 Epoch=0 Access=0 Epoch=1 Y0 Y1 Z0 Z1 EMPHASIZE 1% Cache Access: If (Set[CurrKey] < Sptr) Use NextKey CEASER with gradual remap needs negligible hardware (one bit per line)
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Outline Why? CEASE CEASER Effective?
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Security Analysis Time to learn “Eviction Set” for one set (vulnerability removed after remap, <1ms) Remap-Rate 8MB LLC 1 MB LLC-Bank 1% (default) 100+ years 0.5% 21 years 0.1% 5 hours 0.05% 37 years 5 minutes No-Remap (CEASE) 22 seconds 0.4 seconds Limits impact on missrate, energy, accesses to ~1% EMPHASIZE 1% (POWER, ENERGY, PERFORAMNCE, MISSRATE) CEASER can tolerate years of attack (Even with remap-rate of 1%)
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Performance and Storage Overheads
8 cores with 8MB LLC 16-way (34 workloads, SPEC + Graph) Rate-34 Mix-100 ALL-134 Norm Performance (%) Structures Cost 80-bit key (2 LLBC) 20 bytes SPtr 2 bytes Access Counter Total 24 bytes CEASER incurs negligible slowdown (~1% ) and storage overheads (24 bytes)
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Summary Need practical solution to protect LLC from conflict-based attacks Robust to attacks (years) Negligible slowdown (~ 1%) No OS support needed Negligible storage (24 bytes) Localized change (within cache) Key2 Key1 Encrypt Line Address Cache Change Key, Periodically Appealing for Industrial Adoption
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Course Details
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On average we will meet once per week
I will be traveling at times and I will be making up for the time “lost” by holding two lectures for some weeks What I expect you to do Reading assignments per week Questionnaires to be handed in at the beginning of class Homeworks Programming assignments Project Validate some prior work Do something new Maybe present papers (we will see)
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