acumen basix es instruction manual

acumen basix es instruction manual

Also note that the signals used by this The Components.Operating Your EON Basix (ES). Attaching Your Heart Rate Monitor.Buttons and Functions.Modes of Operation.Time Mode. The Acumen EON Basix (ES) will act as your personal coach and guide you to your fitness goals more effectively. This warranty covers normal consumer usage and does not cover. Attach the adjustable strap: insert round end of clip through the hole and twist (Fig.1). Fig. 1 Belt Clip Elastic Transmitter Strap Transmitter Elastic. The In-Zone Goal Countdown timer will be activated (indicated by “:“ blinking), the minute your heart rate reaches the set Target Zone. After reaching the set goal, it produces four long beeps, the timer will be stopped and the display shows the “In-Zone Countdown time. Improper battery replacement or service will void the warranty. Also, be careful to line up the o-ring gasket properly before replacing the battery door cover. To insure battery water resistance, it’s a good idea to smear a small drop of silicone lubricant spray on the rubber o-ring. Note:The watch will enter the shelf mode after changing battery (i.e. Also note that the signals used by this Although and Slide Mount. If you purchased the Standard your monitor is water resistant, be sure that Basix, your package includes: you do not operate its buttons under water as pressure can cause them to leak. Refer to the service card for further details. Adjust the tension of the strap: to fit snugly but comfortably around your chest (Fig.2). The watch does (blinking) not have to be attached to your wrist to register - set by using the RESET your heart rate, but it should be within 3 feet button. Setting Mode. Please check your inbox, and if you can’t find it, check your spam folder to make sure it didn't end up there. Please also check your spam folder. Some individuals cannot safely elevate their heart rate to the levels of typically used heart rate training zones.http://dancleland.com/img/upload/clamwin-virus-database-manual-download.xml

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No one should begin an exercise program without first obtaining medical clearance, especially if there is a personal or family history of heart disease, high blood pressure, if you are over age 40, have diabetes, high cholesterol, smoke cigarettes, are overweight or are taking certain medications. Stop exercising and seek medical attention if you notice signs of overexertion or heart problems, such as pain or pressure in the left or mid-chest area or left part of the neck, shoulder or arm, light-headedness, cold sweat, unusual paleness or fainting. Also note that the signals used by this monitor may interfere with a pacemaker or other implanted devices.Your purchase shows that you are serious about your exercise and are committed to achieving your best. Today, getting the most from your exercise doesn’t necessarily mean you have to spend longer periods of time to achieve your goals. With Target Heart Rate Training, you will increase the effectiveness of your workout by monitoring and quantifying your results every step of the way. For most individuals, as little as 20 minutes in your target heart rate zone each session is enough to achieve substantial health improvements. The Acumen Basix will act as your personal coach and guide you to your fitness goals more effectively. We know you will enjoy the added features, along with those never found before in other heart rate monitors, and the ease of use incorporated into our products. If you ever have any questions, comments or suggestions, please write or call our staff. We greatly value your feedback and look forward to continue to provide you with products and support that is second to none. Thank you for your purchase and anticipated support. However, they can be set within 1 beat of each other, or either one can be set to OFF. This warranty does not cover damage caused by accidents, misuse, abuse, tampering or disassembling of the product. Acumen, Inc.http://gdwtechnology.com/fckeditor/clampon-dsp-pig-detector-manual.xml

reserves the right to determine the cause of malfunction and will repair or replace your Acumen HRM at no charge except for shipping and handling. For warranty service, you must provide proof of purchase and date of purchase. For service, please see the insert attached at the back of the user’s manual. Warranty is voided if repairs have been made by individuals not authorized by Acumen, Inc. Please check your inbox, and if you can’t find it, check your spam folder to make sure it didn't end up there. Please also check your spam folder. Also note that the signals used by this Your purchase shows that you are serious about your exercise and are committed to achieving your best. For most individuals as little as 20 minutes in your target heart rate zone each session is enough to achieve substantial health improvements. The Acumen EON Basix (ES) will act as your personal coach and guide you to your fitness goals more effectively. We know you will enjoy all of the added features, along with those never found before in other heart rate monitors, and the ease of use incorporated into our products. Thank you for your purchase and anticipated support. During that period, these defects will be repaired or the product will be replaced at Acumen Inc.This warranty covers normal consumer usage and does not cover damage which occurs in shipment or failure which results from accident, misuse, abuse, tampering, alteration or disassembling of the product or improper maintenance. This warranty is effective only if the product is purchased and operated in the USA and does not extend to any units which have been used in violation of written instructions furnished by Acumen Inc., or to units which have been altered or modified without authorization of Acumen Inc., or to damage to products or parts thereof which have had the serial number removed, altered, defected or rendered illegible. Product must be returned to local authorized dealer for service if purchased outside USA..

The watch does not have to be attached to your wrist to register your heart rate, but it should be within 3 feet of your chest. To calculate the overall star rating and percentage breakdown by star, we don’t use a simple average. Instead, our system considers things like how recent a review is and if the reviewer bought the item on Amazon. It also analyzes reviews to verify trustworthiness. See All Buying Options Add to Wish List Disabling it will result in some disabled or missing features. You can still see all customer reviews for the product. Features are easy to set up, though if I were into doing heavy data analysis on my workouts I might want more capabilities. Dunno if this will happen regularly, but since I use it in the gym, it's not a big deal. Reviewed in the United States on February 16, 2007 I purchased this monitor for my wife specifically because of its claim to be for smaller wrists. Unfortunately, this watch was far too big for her wrists. Additionaly, because of it's design, it is only appropriate for one size. On a normal watch, the flexible band is attached on either side of the face. On this watch there is an extra half inch of immobile plastic that curves out and down from the edge of the watch face, suppossedly following the curves of a woman's wrist. Judging by the contours, the designers must have modeled the size of this watch on a woman larger than your average NFL lineman. If you're looking for a heart rate monitor to fit small wrists, pass this one by. Please try again later. From the United StatesFeatures are easy to set up, though if I were into doing heavy data analysis on my workouts I might want more capabilities. Dunno if this will happen regularly, but since I use it in the gym, it's not a big deal.Please try again later. Please try again later. F. Palmer 4.

0 out of 5 stars Pros: sound that lets you know when you are working in your target zone, easy to program, fits small chests too; you can change the battery without sending it to the manufacturer; counts calories; easy to view time, heart rate, calories while exercising. Cons: you have to change the exercise factor, which is a hassle when you change from one activiy to another. I would have liked an HRM that changes automatically when you walk from running, for example. Overall: goood HRM for the price, especially if you are a beginner.Please try again later. Please try again later. Debra J. Clover 5.0 out of 5 stars I looked at several HRM and was concerned about getting one that would fit my smaller frame. This was perfect. It doesn't have a lot of elaborate features, just the basics. The basics were all I wanted as long as it fit well. I am pleased on all accounts. I work in the health care field and compared it to a heart monitor in our office. It was only one point off in matching the professional heart rate monitors in our office.Please try again later. Please try again later. Tater Salid 4.0 out of 5 stars I have never used one before and it is pretty simple to get started. It was completely comfortable, and I could read it easily (although could be hard if you run when the sun isn't up yet). I got the jist of it very quickly, and I was really impressed with how comfortable it is. Also they send you an extra strap and battery and the user book is very easy to read, very well written, and not tech-y. Good job!Please try again later. Please try again later. James LeJeune 2.0 out of 5 stars Unfortunately, this watch was far too big for her wrists. If you're looking for a heart rate monitor to fit small wrists, pass this one by.Please try again later. Please try again later. J in Rome 5.0 out of 5 stars This was simple and easy. I thought it may be uncomfortable but it wasn't.

It was supposed to come with a spare battery (it didn't) but when I contacted the dealer, it was sent to me. I'll probably want to upgrade to a higher-tech model (compatable with computer) etc.Please try again later. Please try again later. Hillary A. Sommer 5.0 out of 5 stars It's great to help with exercise routinesPlease try again later. Please try again later. ChicagoRunner 1.0 out of 5 stars They refused repeated requests to even let me speak to a manager or supervisor to resolve my concerns. DO NOT ORDER FROM THIS SELLER HEART RATE MONITORS USA, you will regret it. My advice is to buy a better heart rate monitor and buy it from a good seller....Please try again later. Please try again later. GS 4.0 out of 5 stars It's simple, but it does all I need sufficienty accurately: monitor my heart rate as I exercise. You can use it for some slightly more advanced tasks, but you have to read the manual, which is a bit involved. I am petite, and this model fits me perfectly. But it can be adjusted to fit my husband too (he uses it regularly now!). The best (and unexpected) feature is that the chest strap is compatible with my Precor heliptical machine. More bonuses: a spare wrist band, and battery which can be replaced at home, without having to send the monitor back to the company. Bottom line: why spend more than twice for a Polar when you can get the same functionality out of this one?Please try again later. Please try again later. Displaced Canadian 4.0 out of 5 stars The chest strap is comfortable, I find I don't need it really tight and it still doesn't fall off even when running. I wear the strap under my jog bra sometimes and it doesn't dig into my skin anywhere, the rubber part is quite soft and the band is too. The best feature is the chest strap registers with the exercise equipment in my gym so I can see my HR on the gym equipment panel as well without needing to look at the watch.

I bought this because I wanted to be sure I was staying within my target zone while working out and it does that perfectly so that is why I am happy with it, if you are looking to do that too then this watch is a nice inexpensive way to be sure you are always in that zone. The watch is easy to program since there isn't too much to program anyway. The watch face is still a bit large for my wrist, the hard face part still extends beyond my wrist so when it is done up it looks like an ellipse, but I don't care about that myself since I wear it loose usually and I didn't buy this for a fashion piece. The calories burned are calculated using something they call an exercise factor you program into the watch. This is a number they assign to a type of exercise. So if you are light running you enter in 6 and it will calculate calories burned from that. The thing is if you are going to change activites, like say tread mill then bike or weights, you would have to change the exercise factor too and then you have to remember these numbers or carry the manual with you. I have always been skeptical about calorie measures anyway and I use this more as a rough estimate, it's not something I am concerned with. This watch also comes with an extra battery and wrist strap. Some watches you have to send back to the company to change the battery. I should note that the watch and chest strap can extend quite large too, totally extended the chest strap could fit on my husband though kinda tight and he has a very large chest. I feel that by using the HRM I have improved my workouts because I now know when I have entered my target zone and can make an effort to stay in that zone and I also know when I am going too hard and going into anaerobic exercise. So overall for the price this is a good value. I get the functionality I was looking for (target zone measure) and comfort without breaking the bank. It was also delivered quickly, had it in 2 days.

I will be ordering another Acumen HRM for my husband.Please try again later. Please try again later. We accept Paypal. For other forms of payment, please contact us. Buyers may request insurance be added to their purchase at an additional cost. Please let us know before we send an invoice to you so that the insurance will be added to the total cost. This paper describes the architectureof a rapid-contextswitching processor called APRIL with support for fine-grain threads and synchronization. APRIL achieves high singlethread performance and supports virtual dynamic threads. A commercial RISC-based implementation of APRIL and a run-time software system that can switch contexts in about 10 cycles is described. Measurements taken for several parallel applications on an APRIL simulator show that the overhead for supporting parallel tasks based on futures is reduced by a factor of two over a corresponding implementation on the Encore Multimax. The scalability of a muItiprocessor based on APRIL is explored using a performance model. We show that the SPARC-based implementation of APRIL can achieve close to 80% processor utilization with as few as three resident threads per processor in a large-scde cache-based machine with an average base network latency of 55 cycles. 1 Introduction The requirements placed on a processor in a large-scale multiprocessing environment are different from those in a uniprocessing setting. This need increases as more processors are added to the system. Parallel applications impose processing and communication bandwidth demands on the parallel machine. An efficient and cost-effective machine design achieves a balance between the processing power and the communication bandwidth provided. An imbalance is created when an underutilized processor cannot fully exploit the available network bandwidth. When the network has bandwidth to spare, low processor utilization can result from high network latency.

An efficient processor design for multiprocessors provides a means for hiding latency. When sufficient parallelism exists, a processor that rapidly switches to an alternate thread of computation during a remote memory request can achieve high utilization. Processor utilization also diminishes due to synchroniz.ation latency. Spin lock accesses have a low overhead of memory requests, but busy-waiting on a synchronization event wastes processor cycles. Synchronizati.on mechanisms that avoid busy-waiting through process blocking incur a high overhead. This scheme associates synchronization information with objects at the granularity of a data word, allowing a low-overhead expression of maximum concurrency. Because the processor can rapidly switch to other threads, wasteful iterations in spin-wait loops are interleaved with useful work from other threads. This reduces the negative effects of synchronization on processor utilization. This paper describes the architecture of APRIL, a processor designed for large-scale multiprocessing. Most of these processors support fine-grain interleaving of instruction streams from multiple threads, but suffer from poor single-thread performance. In the HEP, for example, instructions from a single thread can only be executed once every 8 cycles. Single-thread performance is important for efficiently running sections of applications with low parallelism. APRIL does not support cycle-by-cycle interleaving of threads. To optimize single-thread performance, APRIL executes instructions from a given thread until it performs a remote memory request or fails in a synchronization attempt. We show that such coarse-grain multitlireading allows a simple processor design with context switch overheads of 4-10 cycles, without significantly hurting overall system performance (although the pipeline design is complicated by the need to handle pipeline dependencies).

In APRIL, thread scheduling is done in software, and unlimited virtual dynamic threads are supported. APRIL's simplicity allows an implementation based on minor modifications to an existing RISC processor design. A compiler for APRIL, a run-time system, and an APRIL simulator are operational. We present simulation results for several parallel applications on APRIL's efficiency in handling fine-grain threads and assess the scalability of multiprocessors based on a coarse-grain multithreaded processor using an analytical model, Our SPARC-based processor supports four hardware contexts and can switch contexts in about 10 cycles, which yields roughly 80% processor utilization in a system with an average base network latency of 55 cycles. The rest of this paper is organized as follows. Section 2 is an overview of our multiprocessor system architecture and model. The architecture of APRIL is disthe programming cussed in Section 3, and its instruction set is described in Section 4. A SPARC-based implementation of APRIL is detailed in Section 5. Section 6 discusses the implementation and performance of the APRIL run-time system. Performance measurements of APRIL based on simulations are presented in Section 7. We evaluate the scalability of multithreaded processors in Section 8. ALEWIFE MACHINE Figure I: ALEWIFE node. 2 The ALEWIFE System APRIL is the processing element of ALEWIFE, a large-scale multiprocessor being designed at MIT. ALEWIFE is a cachecoherent machine with distributed, globally-shared memory. The directory is distributed with the processing nodes. 2.1 Hardware The ALEWIFE system uses a low-dimension direct network. Such networks scale easily and maintain high nearestneighbor bandwidth. However, the longer expected latencies of low-dimension direct networks compared to indirect multistage networks increase the need for processors that can tolerate long latencies.

Furthermore, the lower bandwidth of direct networks over indirect networks with the same channel width introduces interesting design tradeoffs.Since caches reduce the netfailed synchronization work request rate, we can employ coarse-grain multithreading (context switch every 50-100 cycles) instead of fine-grain multithreading (context switch every cycle). This simplibecause context switches fies processor design considerably can be more expensive (4 to 10 cycles), and functionality such as scheduling can be migrated into run-time software. Custom design of a processing element is not required in the ALEWIFE system; indeed, we are using a modified version of a commercial RISC processor for our first-round implementation. Multiple nodes are connected via a direct, packet-switched network. The controller synthesizes a global shared memory space via messages to other nodes, and satisfies requests from other nodes directed to its local memory. It maintains strong cache coherence 171 for memory accesses. On exception conditions, such as cache misses and failed synchronization attempts, the controller can choose to trap the processor or to make the processor wait. A multithreaded processor reduces the ill effects of the long-latency acknowledgment messages resulting from a strong cache coherence protocol. Mul-T's basic mechanism for generating concurrent tasks is the future construct. When the value of X becomes known, the future resolves to that value, effectively mutating into the value of X. Concurrency arises because the expression (future X) returns the future as its value without waiting for the future to resolve. Thus, the computation containing (future X) can proceed concurrently with the evaluation of X. All tasks execute in a shared address-space. The result of supplying a future as an operand of some 105 operation depends on the nature of the operation.

Non-strict operations, such as passing a parameter to a procedure, returning a result from a procedure, assigning a value to a variable, and storing a value into a field of a data structure, can treat a future just like any other kind of value. Strict operations such as addition and comparison, if applied to an unresolved future, are suspended until the future resolves and then proceed, using the value to which the future resolved as though that had been the original operand. The act of suspending if an object is an unresolved future and then proceeding when the future resolves is known as touching the object. The touches that automatically occur when strict operations are attempted are referred to as implicit touches. Futures express control-level parallelism. In a large class of algorithms, data parallelism is more appropriate. Barriers are a useful means of synchronization for such applications on MIMD machines, but force unnecessary serialization. The same serialization occurs in SIMD machines. Implementing data-level parallelism in a MIMD machine that allows the expression of maximum concurrency requires cheap fine-grain synchronization associated with each data object. As an example, the programmer can use future-on which works just like a normal future but allows the specification of the node on which to schedule the future. Extending MulT in this way allows us to experiment with techniques for enhancing locality and to research language-level issues for programming parallel machines. Processor State Global register frame Memory Global Heap thread thread 0 Unkaded Loaded Figure 2: Processor State and Virtual Threads. 3 Processor Architecture APRIL is a pipelined RISC processor extended with special mechanisms for multiprocessing. This section gives an overview of the APRIL architecture and focuses on its feafine-grain synchronizatures that support multithreading, tion, cheap futures, and other models of computation.

The left half of Figure 2 depicts the user-visible processor state comprising four sets of general purpose registers, and four sets of Program Counter (PC) chains and Processor State Registers (PSR). The PC chain represents the instruction addresses corresponding to a thread, and the PSR holds various pieces of process-specific state. Only one task frame is active at a given time and is designated by a current frame pointer (FP). All register accesses are made to the active register set and instructions are fetched using the active PC-chain. Additionally, a set of 8 global registers that are always accessible (regardless of the FP) is provided. Registers are 32 bits wide. The PSR is also a 32-bit register and can be read into and written from the general reg- isters. Special instructions can read and write the FP register. The PC-chain includes the Program Counter (PC) and next Program Counter (nPC) which are not directly accessible. This assumes a single-cycle branch delay slot. Condition codes are set as a side effect of compute instructions. Use of multiple register sets on the processor, as in the HEP, allows rapid context switching. A context switch is achieved by changing the frame pointer and emptying the pipeline. APRIL implements futures using the trap mechanism. For implementation based on SPARC, our proposed experimental which does not have four separate PC and PSR frames, context switches are also caused thr0ug.h traps. Therefore, a fast trap mechanism is essential. When a trap is signalled in APRIL, the trap mechanism lets the pipeline empty and passes control to the trap handler. Such fine-grain multithreading has been used to hide memory latency and also to achieve high pipeline utilization. Pipeline dependencies are avoided by maintaining instructions from different threads in the pipeline, at the price of poor singlethread performance.

In the ALEWIFE machine, we are primarily concerned 106 with the large latencies associated with cache misses that require a network access. Good single thread performance is also important. Therefore APRIL continues executing a single thread until a memory operation involving a remote request (or an unsuccessful synchronization attempt,) is encountered. The controller forces the processor to switch to another thread, while it services the request. Context switching in APRIL is achieved by changing the frame pointer. Since APRIL has four task frames, it can have up to four threads loaded. The thread that is being executed resides in the task frame pointed to by the FP. A context switch simply involves letting the processor pipeline empty while saving the PC-chain and then changing the FP to point to another task frame. Threads in ALEWIFE are virtual. Only a small subset of all threads can be physically resident on the processors; these threads are called loaded threads. The remaining threads are referred to as unloaded threads and live on various queues in memory, waiting their turn to be loaded. In a sense, the set of task frames acts like a cache on the virtual threads. This organization is illustrated in Figure 2. The scheduler tries to choose threads from the set of loaded threads for execution to minimize the overhead of saving and restoring threads to and from memory. When control eventually passes back to the thread that suffered a remote request., the controller shouId have completed servicing the request, provided the other threads ran for enough cycles. These events can either cause'the processor to suspend execution (wait) or to take a trap. In the former case, the controller holds the processor until the request is satisfied. If a trap is taken, the trap handling routine can respond by: 1. spinning - immediately the trapping instruction. 2. suritch spinning - context trapped thread. 3.

blocking - unload return from the trap and retry an exception condition that an unloaded thread is responsible for fulfilling. An important aspect of the ALEWIFE system is its combination of caches and multithreading. While this combination is advantageous, it also creates a unique class of thrashing and starvation problems. For example, forward progress can be halted if a context, executing on one processor is writing to a location while a context on another processor is reading from it. Another problem involves thrashing between an instruction and its data; a context will be blocked if it has a load instruction mapped to the same cache line as the target of the load.,These and related problems have been addressed with appropriate hardware interlock mechanisms. 3.2 Support for Futures Executing a Mul-T program with futures incurs two types of overhead not present in sequential programs. First, strict operations must check their operands for availability before using them. Second, there is a cost associated with creating new threads. Operand checks for futures done in Detection of Futures Our software imply wasted cycles on every strict operation.Even with clever compiler optimizations, there is close to a factor of two loss in performance (see Table 3). Our over a purely sequential implementation solution employs a tagging scheme with hardware-generated traps if an operand to a strict operator is a future. We believe that this hardware support is necessary to make futures a viable construct for expressing parallelism. From an architectural perspective, this mechanism is similar to dynamic type checking in Lisp. However, this mechanism is necessary even in a statically typed language in the presence of dynamic futures. APRIL uses a simple data type encoding scheme for automatically generating a trap when operands to strict operators are futures.