Daniel J. Sorin

Multifacet's general execution-driven multiprocessor simulator (GEMS) toolset

The Wisconsin Multifacet Project has created a simulation toolset to characterize and evaluate the performance of multiprocessor hardware systems commonly used as database and web servers. We leverage an existing full-system functional simulation infrastructure (Simics [14]) as the basis around which to build a set of timing simulator modules for modeling the timing of the memory system and microprocessors. This simulator infrastructure enables us to run architectural experiments using a suite of scaled-down commercial workloads [3]. To enable other researchers to more easily perform such research, we have released these timing simulator modules as the Multifacet General Execution-driven Multiprocessor Simulator (GEMS) Toolset, release 1.0, under GNU GPL [9].

Argus: Low-Cost, Comprehensive Error Detection in Simple Cores

We have developed Argus, a novel approach for providing low-cost, comprehensive error detection for simple cores. The key to Argus is that the operation of a von Neumann core consists of four fundamental tasks - control flow, dataflow, computation, and memory access - that can be checked separately. We prove that Argus can detect any error by observing whether any of these tasks are performed incorrectly. We describe a prototype implementation, Argus-1, based on a single-issue, 4-stage, in-order processor to illustrate the potential of our approach. Experiments show that Argus-1 detects transient and permanent errors in simple cores with much lower impact on performance (<4% average overhead) and chip area (<17% overhead) than previous techniques.

Why on-chip cache coherence is here to stay

On-chip hardware coherence can scale gracefully as the number of cores increases.

Using destination-set prediction to improve the latency/bandwidth tradeoff in shared-memory multiprocessors

Destination-set prediction can improve the latency/bandwidth tradeoff in shared-memory multiprocessors. The destination set is the collection of processors that receive a particular coherence request. Snooping protocols send requests to the maximal destination set (i.e., all processors), reducing latency for cache-to-cache misses at the expense of increased traffic. Directory protocols send requests to the minimal destination set, reducing bandwidth at the expense of an indirection through the directory for cache-to-cache misses. Recently proposed hybrid protocols trade-off latency and bandwidth by directly sending requests to a predicted destination set.This paper explores the destination-set predictor design space, focusing on a collection of important commercial workloads. First, we analyze the sharing behavior of these workloads. Second, we propose predictors that exploit the observed sharing behavior to target different points in the latency/bandwidth tradeoff. Third, we illustrate the effectiveness of destination-set predictors in the context of a multicast snooping protocol. For example, one of our predictors obtains almost 90% of the performance of snooping while using only 15% more bandwidth than a directory protocol (and less than half the bandwidth of snooping).

Simulating a

As dependence on database management systems and Web servers increases, so does the need for them to run reliably and efficiently-goals that rigorous simulations can help achieve. Execution-driven simulation models system hardware. These simulations capture actual program behavior and detailed system interactions. The authors have developed a simulation methodology that uses multiple simulations, pays careful attention to the effects of scaling on workload behavior, and extends Virtutech ABs Simics full system functional simulator with detailed timing models. The Wisconsin Commercial Workload Suite contains scaled and tuned benchmarks for multiprocessor servers, enabling full-system simulations to run on the PCs that are routinely available to researchers.

2M commercial server on a

This paper develops and validates an analytical model for evaluating various types of architectural alternatives for shared-memory systems with processors that aggressively exploit instruction-level parallelism. Compared to simulation, the analytical model is many orders of magnitude faster to solve, yielding highly accurate system performance estimates in seconds.The model input parameters characterize the ability of an application to exploit instruction-level parallelism as well as the interaction between the application and the memory system architecture. A trace-driven simulation methodology is developed that allows these parameters to be generated over 100 times faster than with a detailed execution-driven simulator.Finally, this paper shows that the analytical model can be used to gain insights into application performance and to evaluate architectural design trade-offs.

2K PC

Symmetric muultiprocessor (SMP) servers provide superior performance for the commercial workloads that dominate the Internet. Our simulation results show that over one-third of cache misses by these applications result in cache-to-cache transfers, where the data is found in another processors cache rather than in memory. SMPs are optimized for this case by using snooping protocols that broadcast address transactions to all processors. Conversely, directory-based shared-memory systems must indirectly locate the owner and sharers through a directory, resulting in larger average miss latencies.This paper proposes timestamp snooping, a technique that allows SMPs to i) utilize high-speed switched interconnection networks and ii) exploit physical locality by delivering address transactions to processors and memories without regard to order. Traditional snooping requires physical ordering of transactions. Timestamp snooping works by processing address transactions in a logical order. Logical time is maintained by adding a few bits per address transaction and having network switches perform a handshake to ensure on-time delivery. Processors and memories then reorder transactions based on their timestamps to establish a total order.We evaluate timestamp snooping with commercial workloads on a 16-processor SPARC system using the Simics full-system simulator. We simulate both an indirect (butterfly) and a direct (torus) network design. For OLTP, DSS, web serving, web searching, and one scientific application, timestamp snooping with the butterfly network runs 6-28% faster than directories, at a cost of 13-43% more link traffic. Similarly, with the torus network, timestamp snooping runs 6-29% faster for 17-37% more link traffic. Thus, timestamp snooping is worth considering when buying more interconnect bandwidth is easier than reducing interconnect latency.

Analytic evaluation of shared-memory systems with ILP processors

We develop a specification methodology that documents and specifies a cache coherence protocol in eight tables: the states, events, actions, and transitions of the cache and memory controllers. We then use this methodology to specify a detailed, modern three-state broadcast snooping protocol with an unordered data network and an ordered address network that allows arbitrary skew. We also present a detailed specification of a new protocol called multicast snooping (Bilir et al., 1999) and, in doing so, we better illustrate the utility of the table-based specification methodology. Finally, we demonstrate a technique for verification of the multicast snooping protocol, through the sketch of a manual proof that the specification satisfies a sequentially consistent memory model.

Timestamp snooping: an approach for extending SMPs

The huge investment in the design and production of multicore processors may be put at risk because the emerging highly miniaturized but unreliable fabrication technologies will impose significant barriers to the life-long reliable operation of future chips. Extremely complex, massively parallel, multi-core processor chips fabricated in these technologies will become more vulnerable to: (a) environmental disturbances that produce transient (or soft) errors, (b) latent manufacturing defects as well as aging/wearout phenomena that produce permanent (or hard) errors, and (c) verification inefficiencies that allow important design bugs to escape in the system. In an effort to cope with these reliability threats, several research teams have recently proposed multicore processor architectures that provide low-cost dependability guarantees against hardware errors and design bugs. This paper focuses on dependable multicore processor architectures that integrate solutions for online error detection, diagnosis, recovery, and repair during field operation. It discusses taxonomy of representative approaches and presents a qualitative comparison based on: hardware cost, performance overhead, types of faults detected, and detection latency. It also describes in more detail three recently proposed effective architectural approaches: a software-anomaly detection technique (SWAT), a dynamic verification technique (Argus), and a core salvaging methodology.

Specifying and verifying a broadcast and a multicast snooping cache coherence protocol

This paper advocates that cache coherence protocols use a bandwidth adaptive approach to adjust to varied system configurations (e.g., number of processors) and workload behaviors. We propose Bandwidth Adaptive Snooping Hybrid (BASH), a hybrid protocol that ranges from behaving like snooping (by broadcasting requests) when excess bandwidth is available to behaving like a directory protocol (by unicasting requests) when bandwidth is limited. BASH adapts dynamically by probabilistically deciding to broadcast or unicast on a per request basis using a local estimate of recent interconnection network utilization. Simulations of a microbenchmark and commercial and scientific workloads show that BASH robustly performs as well or better than the best of snooping and directory protocols as available bandwidth is varied. By mixing broadcasts and unicasts, BASH outperforms both snooping and directory protocols in the mid-range where a static choice of either is inefficient.